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[1]
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Polar night jet characterization through artificial intelligence
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Montes, B Ayarzagüena… - Computers & …,
2022 |
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[2]
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Active shape model registration of ocular structures in computed tomography images
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Physics in Medicine …,
2022 |
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[3]
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An Expedition to Intelligent Diagnosis of Bone Cancer and It's Direction from Capsule Network
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Proceedings of the 2nd …,
2022 |
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[4]
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Volume Data Segmentation Using Visual Selection
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Electronic Imaging,
2021 |
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[5]
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肺结节图像的计算机自动检测研究进展
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Computer Science and …,
2021 |
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[6]
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A Review of Medical Image Segmentation Algorithms
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2021 |
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[7]
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Magnetic Resonance Sequences: Experimental Assessment of Achievements and Limitations
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2021 |
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[8]
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AUTOMATIC DETECTION OF BRAIN TUMOR FROM MAGNETIC RESONANCE IMAGES (MRI) USING ANN BASED FEATURE EXTRACTION
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International Journal of Advanced Research in Engineering and Technology,
2021 |
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[9]
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Image Segmentation of MR Images with Multi-directional Region Growing Algorithm
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2021 |
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[10]
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The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
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2020 |
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[11]
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Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis
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2020 |
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[12]
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A texture-based 3D region growing approach for segmentation of ICA through the skull base in CTA
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2020 |
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[13]
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Machine Learning for Instance Segmentation
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2020 |
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[14]
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THE EFFECTS OF NOISE FILTERS ON SEGMENTATION BASED SEEDED REGION GROWING
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2019 |
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[15]
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Fractional Sobel Filter Based Brain Tumor Detection and Segmentation Using Statistical Features and SVM
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Nanoelectronics, Circuits and Communication Systems,
2019 |
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[16]
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A Brain Robot Interaction System by Fusing Human and Machine Intelligence
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2019 |
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[17]
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A Novel Approach for solving Medical Image Segmentation Problems with ACM
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INTERNATIONAL JOURNAL OF COMPUTERS,
2018 |
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[18]
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A voyage on medical image segmentation algorithms.
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2018 |
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[19]
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اندازه گیری ضرایب همبستگی بین ویژگی های استخراج شده از تصاویر سی تی اسکن و ام آر آی
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Journal of Shahrekord University of Medical Sciences,
2018 |
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[20]
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Overview of automatic seed selection methods for biomedical images segmentation.
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2018 |
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[21]
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Adaptive polar active contour for segmentation and tracking in ultrasound videos
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2018 |
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[22]
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A voyage on medical image segmentation algorithms
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2018 |
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[23]
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Measurement of the correlation coefficients between extracted features from CT-scan and MRI images
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2018 |
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[24]
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A Novel Approach of Intuitive K-means Clustering for Renal Calculi Detection in Ultrasound Images
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International Journal on Electrical Engineering and Informatics,
2018 |
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[25]
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MRI prostate cancer ra-diomics
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Thesis,
2018 |
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[26]
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Object Localization improved GrabCut for Lung Parenchyma Segmentation
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Procedia Computer Science,
2018 |
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[27]
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Breast Lesion Segmentation and Area Calculation for MR Images.
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2018 |
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[28]
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Automatic Intestinal Canal Segmentation Based Region Growing with Multi-Scale Entropy
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2018 |
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[29]
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Image Segmentation Techniques for the Multitude Regional Texture of Aerial and Natural Images
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International Journal of Research in Engineering and Science,
2018 |
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[30]
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اندازه گیری ضرایب همبستگی بین ویژگی های استخراج شده از تصاویر سی تی اسکن و ام آر آی
|
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2018 |
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|
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[31]
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A Novel Approach of Intuitive K-means Clustering for Renal Calculi Detection in Ultrasound Images.
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2018 |
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[32]
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Breast Lesion Segmentation and Area Calculation for MR Images
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2018 |
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[33]
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Tersinir bölütleme yaklaşımı ile internal karotid arter yapılarının üç-boyutlu bölütlenmesi
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2018 |
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[34]
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Brain tumor segmentation from MRI using fractional sobel mask and watershed transform
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2017 |
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[35]
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Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma
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Journal of Computational Science,
2017 |
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[36]
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Applying Anomalous Cluster Approach to Spatial Clustering
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Uncertainty Modeling,
2017 |
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[37]
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Improved live-wire algorithm for kidney image segmentation
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2017 |
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[38]
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A review on systemic approach of the ultra sound image to detect renal calculi using different analysis techniques
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2017 |
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[39]
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On compositional structure simulation and interactive design of Tujia brocade
|
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2017 |
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[40]
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Overview of Automatic seed selection methods for biomedical images segmentation
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2016 |
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[41]
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Region separation techniques for medical images
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2016 |
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[42]
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A contour-line color layer separation algorithm based on fuzzy clustering and region growing
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Computers & Geosciences,
2016 |
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[43]
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Medical Image Segmentation Techniques: An Overview
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International Journal of Informatics and Medical Data Processing (IJIMDP),
2016 |
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|
|
[44]
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Enhanced De-Noising Technique for Region Growing Segmentation
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Indian Journal of Science and Technology,
2016 |
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|
|
[45]
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COMPARAÇÃO ENTRE TÉCNICAS PARA SEGMENTAÇÃO AUTOMÁTICA DE FÍGADO UTILIZANDO CRESCIMENTO DE REGIÃO
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Revista Brasileira de Inovação Tecnológica em Saúde ISSN: 2236-1103,
2016 |
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[46]
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Liver Segmentation by Geometric and Texture features using Support Vector Machine (LiGTS)
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Dissertation, Ohio State University,
2016 |
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[47]
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Tumor or abnormality identification from magnetic resonance images using statistical region fusion based segmentation
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Magnetic Resonance Imaging,
2016 |
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[48]
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Detection of Pancreatic Cancer Using Clustering and Wavelet Transform Techniques
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2015 |
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[49]
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BATIN BÖLGESİ ORGANLARININ MR GÖRÜNTÜLERİNDEN ÇOK AŞAMALI HİYERARŞİK SINIFLAMA İLE BÖLÜTLENMESİ
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Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi,
2015 |
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[50]
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Sistema de identificação de alimentos baseado em imagens de porções alimentares
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2015 |
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[51]
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Automatic Seed Generation for Mass Extraction in Mammograms: Comparative Study
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2015 |
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[52]
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A Novel Automatic Seed Placement Approach for Region Growing segmentation in Mammograms
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Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication,
2015 |
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[53]
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Multiple Organ Identification System using Signature Quadratic Form Distance for Effective Radiotherapy
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Current Medical Imaging Reviews,
2015 |
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[54]
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Study on Surface Defect Detection of Automobile
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2015 |
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[55]
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Medical Image Segmentation by Transferring Ground Truth Segmentation
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2015 |
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[56]
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Comparison between Elliptical and Squared ROI to Launch an Automatic Seed to Region Growing Algorithm on Hepatic Segmentation using CT images
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World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada,
2015 |
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[57]
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A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images
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Computers & Geosciences,
2015 |
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[58]
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Stroke Detection in Brain Using CT Images
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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems,
2015 |
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[59]
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Development of techniques for the detection of tumours in breast magnetic resonance imaging
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2015 |
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[60]
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Ablation radioguidée des masses rénales
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Thesis,
2015 |
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[61]
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Segmentação e volumetria automática de fígado a partir de imagens tomográficas
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2015 |
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[62]
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Study on Surface Defect Detection of Automobile Seat
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2015 |
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[63]
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SKIN LESION SEGMENTATION USING GENETIC ALGORITHM
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2015 |
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[64]
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Development of CAD System for Detection, Classification, Retrieval and 3d Reconstruction of Brain and Liver Tumors on MRI and CT Images
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2014 |
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[65]
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Automatic region growing segmentation for medical ultrasound images
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2014 |
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[66]
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Seeded selection for 2D medical image segmentation based on region growing algorithm: a survey
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IT4OD,
2014 |
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[67]
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Computer-Aided Segmentation System for Breast MRI Tumour using Modified Automatic Seeded Region Growing (BMRI-MASRG)
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Journal of digital imaging,
2014 |
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[68]
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Seeded region growing on multi-core system
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Consumer Electronics (ICCE), 2014 IEEE International Conference on,
2014 |
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|
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[69]
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A SEEDED REGION GROWING ALGORITHM: REVIEW
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2014 |
|
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|
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[70]
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In Memoriam: Skipper Poehlman
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Critical Reviews? in Biomedical Engineering ,
2014 |
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|
|
|
[71]
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VOLUMETRIA E SEGMENTAÇÃO HEPÁTICA AUTOMÁTICA
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2014 |
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|
[72]
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An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation
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Proceedings of International Conference on Environment and Bio-Science,
2014 |
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|
|
[73]
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An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image
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arXiv preprint arXiv:1407.3664,
2014 |
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|
|
[74]
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Breast MRI tumour segmentation using modified automatic seeded region growing based on particle swarm optimization image clustering
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Soft Computing in Industrial Applications,
2014 |
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|
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[75]
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PERFORMANCE ANALYSIS USING SINGLE SEEDED REGION GROWING ALGORITHM
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International Journal of Innovative Research in Advanced Engineering,
2014 |
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[76]
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Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques
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2014 |
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[77]
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Microstructural characterisation of pearlitic and complex phase steels using image analysis methods
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2014 |
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[78]
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Multiple reconstruction and dynamic modeling of 3D digital objects using a morphing approach
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The Visual Computer,
2014 |
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[79]
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MELHORAMENTO DE IMAGENS TOMOGRáFICAS UTILIZANDO TéCNICAS DE PRé-PROCESSAMENTO
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2014 |
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[80]
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CAD for Detection of Brain Tumor Using the Symmetry Contribution From MR Image Applying Unsharp Mask Filter
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TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS,
2014 |
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[81]
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Bone Cancer Detection from MRI Scan Imagery Using Mean Pixel Intensity
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Modelling Symposium (AMS), 2014 8th Asia,
2014 |
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|
|
[82]
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Ocular Allergy
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Immune Modulation and Anti-Inflammatory Therapy in Ocular Disorders,
2014 |
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[83]
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Comparative study of automatic seed selection methods for medical image segmentation by region growing technique
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2014 |
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[84]
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Segmentation of abdominal organs from CT using a multi-level, hierarchical neural network strategy
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Computer methods and programs in biomedicine,
2014 |
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[85]
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Modélisation dynamique et suivi de tumeur dans le volume rénal
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Thesis,
2014 |
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[86]
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MRI-based Quantification of
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GROUP,
2014 |
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|
|
[87]
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Multimodal magnetic resonance imaging at 3 T and challenges for application at ultra-high field
|
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2014 |
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|
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[88]
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Ensemble Semi-supervised Frame-work for Brain Magnetic Resonance Imaging Tissue Segmentation
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Journal of medical signals and sensors,
2013 |
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|
|
[89]
|
Detection of Brain Tumor using Modified Histo-Thresholding-Novel Approach
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Digital Image Processing,
2013 |
|
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|
|
[90]
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Automatic 3d reconstruction of transfemoral residual limb from MRI images
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Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management. Human Body Modeling and Ergonomics,
2013 |
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|
|
[91]
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An overview of interactive medical image segmentation
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Annals of the BMVA,
2013 |
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|
|
[92]
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Segmentation of Kidneys from Computed Tomography Using 3D Fast GrowCut Algorithm
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Applied Mechanics and Materials,
2013 |
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|
|
|
[93]
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Massive Regional Texture Extraction for Aerial and Natural Images
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2013 |
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[94]
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Shenzhen Key Laboratory for Low-cost Healthcare, Key Lab for Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Xueyuan Avenue 1068, Shenzhen 518055, China
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Image Processing (ICIP), 2013 20th IEEE International Conference on,
2013 |
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[95]
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Automation of OPG image segmentation
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2013 |
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[96]
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Improved region growing method for magnetic resonance images (MRIs) segmentation
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2013 |
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[97]
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Development of a Fully Automated Image Analysis Method for High Density cDNA and array CGH Microarray Based Genomic Studies
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2013 |
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[98]
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통신 가능한 다중 코어 기반의 병렬화된 영역 성장 기법
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2013 |
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|
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[99]
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Multi-Variant Enhanced Region Growing Algorithm for Medical Image Segmentation
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Digital Image Processing,
2012 |
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|
|
[100]
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Hierarchical Feature Cluster based Multi-level Segmentation for Non-Proliferative Diabetic Retinopathy Stage Diagnosis
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European Journal of Scientific Research,
2012 |
|
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|
|
[101]
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Modelagem e reconhecimento de objetos estruturados: uma abordagem estatístico-estrutural
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Thesis,
2012 |
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|
[102]
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Quantification of Colon Content from MRI Using a Semi-automatic Approach
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2012 |
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|
[103]
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Seed point selection for seed-based region growing in segmenting microcalcifications
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Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on,
2012 |
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[104]
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Medical image analysis through a texture based computer aided diagnosis framework
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International Journal of Biometrics and Bioinformatics,
2012 |
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[105]
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Medical Image Texture Segmentation Usingrange Filter
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computer science and information technology,
2012 |
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[106]
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Corn Leaf Diseases Diagnostic Techniques Based on Image Recognition
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Communications and Information Processing,
2012 |
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[107]
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AVALIAÇÃO DE TÉCNICAS DE REALCE APLICADAS EM TOMOGRAFIA DE FÍGADO
|
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2012 |
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[108]
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Image segmentation based on genetic algorithm for region growth and region merging
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Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on,
2012 |
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|
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[109]
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Segmentation of Pre-processed Medical Images: An Approach Based on Range Filter
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International Journal of Image, Graphics and Signal Processing (IJIGSP),
2012 |
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|
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[110]
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Multitude Regional Texture Extraction for Image Segmentation of Aerial and Natural Images
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2012 |
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[111]
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Volumetric Quantification of Metastatic Burden from SPECT/CT Images
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2012 |
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[112]
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Graphic and Image Processing (ICGIP 2011)
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2011 |
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[113]
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A simple single seeded region growing algorithm for color image segmentation using adaptive thresholding
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Communication Systems and Network Technologies (CSNT), 2011 International Conference on,
2011 |
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[114]
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Diagnosis of Alzheimer's Disease from 3D MR Images with Statistical Features of Hippocampus
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Computational Intelligence and Information Technology,
2011 |
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[115]
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A novel T-CAD framework to support medical image analysis and reconstruction
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Image Analysis and Processing – ICIAP 2011,
2011 |
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[116]
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3D reconstruction from CT-scan volume dataset application to kidney modeling
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Proceedings of the 27th Spring Conference on Computer Graphics,
2011 |
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[117]
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A seeded region growing algorithm for spot detection in medical image segmentation
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Image Information Processing (ICIIP), 2011 International Conference on,
2011 |
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|
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[118]
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Region grow approach to detect anomalous shapes of spread of cell transformations from radiological images
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2011 International Conference on Graphic and Image Processing,
2011 |
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[119]
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IMPROVING THE SUB-CORTICAL GM SEGMENTATION USING EVOLUTIONARY HIERARCHICAL REGION MERGING
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|
2011 |
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[120]
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Texture information-based hybrid methodology for the segmentation of SAR images
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International Journal of Remote Sensing,
2011 |
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[121]
|
Automatic volumetric liver segmentation using texture based region growing
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|
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on,
2010 |
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[122]
|
DÖNERKANAT TİPİNDE BİR İNSANSIZ HAVA ARACIYLA VİDEO TABANLI ÜST DÜZEY İŞLEVLERİN TASARLANMASI
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|
2010 |
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[123]
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Statistical texture analysis of MRI images to classify patients affected by multiple sclerosis
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|
XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010,
2010 |
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[124]
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Sonography images for breast cancer texture classification in diagnosis of malignant or benign tumors
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|
2010 |
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[125]
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Dönerkanat tipinde bir insansız hava aracıyla video tabanlı üst düzey işlevlerin tasarlanması
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|
2010 |
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[126]
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Object Segmentation Using Active Contours: A Level Set Approach
|
|
2009 |
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[127]
|
for the degree of Doctor of Natural Sciences
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