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Fuzzy Thresholding-Based Brain Image Segmentation Using Multi-Threshold Level Set Model
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Driving Smart Medical Diagnosis …,
2024 |
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[2]
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An Automatic Early Detection
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Smart Trends in Computing and …,
2023 |
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[3]
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An Automatic Early Detection of Melanoma Skin Cancer Using Fuzzy C-Means
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International Conference on Smart Trends …,
2023 |
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Di-unet: dual-branch interactive u-net for skin cancer image segmentation
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Journal of Cancer Research and Clinical Oncology,
2023 |
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Image segmentation of skin lesions based on dense atrous spatial pyramid pooling and attention mechanism
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Sheng wu yi xue Gong Cheng …,
2022 |
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[6]
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Nitrogen Deficiency and Yield Estimation in Paddy Field
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… Conference on DATA ANALYTICS & LEARNING,
2022 |
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[7]
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基于密集空洞空间金字塔池化和注意力机制的皮肤病灶图像分割方法
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… Wu Yi Xue Gong Cheng Xue …,
2022 |
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[8]
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The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning
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arXiv preprint arXiv:2210.05167,
2022 |
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[9]
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A comparative analysis of melanoma detection methods based on computer aided diagnose system
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Materials Today: Proceedings,
2022 |
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[10]
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Deep Learning-Based Melanoma Detection with Optimized Features via Hybrid Algorithm
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International Journal of Image and Graphics,
2022 |
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[11]
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Image Processing and Analysis for Decision Making Applied to Melanoma
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Advanced Methods for Human Biometrics,
2021 |
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[12]
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A Segmentation of Melanocytic Skin Lesions in Dermoscopic and Standard Images Using a Hybrid Two-Stage Approach
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2021 |
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[13]
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A brain extraction algorithm for infant T2 weighted magnetic resonance images based on fuzzy c-means thresholding
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Scientific Reports,
2021 |
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[14]
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MATLAB image processing tool-based GUI for high-throughput image segmentation and analysis to study structure and morphology of skin H&E stained sections
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2020 |
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[15]
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Directional Vector-Based Skin Lesion Segmentation—A Novel Approach to Skin Segmentation
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2020 |
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[16]
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Melanoma lesion detection and segmentation using YOLOv4-DarkNet and active contour
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2020 |
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[17]
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Engineering and Technology for Healthcare
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2020 |
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[18]
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Automated Diagnosis of Skin Cancer for Healthcare: Highlights and Procedures
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2020 |
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[19]
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A Comparative Study of Meningioma Tumors Segmentation Methods from MR Images
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2020 |
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[20]
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Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
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2019 |
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[21]
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Detection and diagnosis of dilated cardiomyopathy from the left ventricular parameters in echocardiogram sequences
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2019 |
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[22]
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Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images
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2018 |
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[23]
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New FCM Segmentation Approach Based on Multi-Resolution Analysis
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International Journal of Fuzzy System Applications (IJFSA),
2018 |
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[24]
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Segmentation of Melanoma Skin Lesions Using Anisotropic Diffusion and Adaptive Thresholding
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ICBET 2018 Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology,
2018 |
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[25]
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Detection of Fonts and Characters with Hybrid Graphic-Text Plate Numbers
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2018 |
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[26]
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Orientation Sensitive Fuzzy C Means Based Fast Level Set Evolution for Segmentation of Histopathological Images to Detect Skin Cancer
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2018 |
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[27]
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Implementation of Fuzzy Thresholding for Segmentation of Images
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International Journal of Computer Applications,
2017 |
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[28]
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Αυτόματη Ανίχνευση Αθηρωματικής Πλάκας Σε Εικόνες B-Mode Υπερήχων Μέσω Ανάλυσης Υφής
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2017 |
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[29]
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Segmentation of Brain Tumour Based on Clustering Technique: Performance Analysis
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Journal of Intelligent Systems,
2017 |
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[30]
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Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images
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IEEE JBHI; Special Issue on “Skin Lesion Image Analysis for Melanoma Detection” ,
2017 |
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[31]
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Detection and diagnosis of dilated cardiomyopathy and hypertrophic cardiomyopathy using image processing techniques
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Engineering Science and Technology, an International Journal,
2016 |
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[32]
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Proposed Threshold Algorithm for Accurate Segmentation for Skin Lesion
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2016 |
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[33]
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Estudo comparativo de técnicas para segmentação e classificação de imagens de lesões de pele
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Repositório Institucional UNESP,
2016 |
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[34]
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Developing improved algorithms for detection and analysis of skin cancer
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2016 |
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[35]
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Enhancement of dermoscopic images and feature extraction for classification of skin lesions
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ProQuest Dissertations Publishing,
2015 |
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[36]
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GMM guided automated Level Set algorithm for PET image segmentation
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World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada,
2015 |
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[37]
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Self-supervised learning model for skin cancer diagnosis
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2015 7th International IEEE/EMBS Conference on Neural Engineering (NER),
2015 |
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[38]
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A local fuzzy thresholding methodology for multiregion image segmentation
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Knowledge-Based Systems,
2015 |
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[39]
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SA-SVM based automated diagnostic system for skin cancer
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Sixth International Conference on Graphic and Image Processing (ICGIP 2014),
2015 |
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[40]
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Automatic skin cancer detection system
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2014 |
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[41]
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Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM
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Neural Information Processing.Springer,
2014 |
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[42]
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Integrating soft and hard threshold selection algorithms for accurate segmentation of skin lesion
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Biomedical Engineering (MECBME), 2014 Middle East Conference on. IEEE,
2014 |
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[43]
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Development of Automated Diagnostic System for Skin Cancer: Performance Analysis of Neural Network Learning Algorithms for Classification
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Artificial Neural Networks and Machine Learning–ICANN 2014. Springer International Publishing,
2014 |
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[44]
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A BINARY LEVEL SET METHOD BASED ON K-MEANS FOR CONTOUR TRACKING ON SKIN CANCER IMAGES
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Proceeding (818) Biomedical Engineering / 817: Robotics Applications,
2014 |
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[45]
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A Hybrid Dermoscopic Images Segmentation Scheme Using Fast FCM, DWT2 and YUV
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IJEIR,
2014 |
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[46]
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A Hybrid Dermoscopic Images Segmentation Scheme Using Fast FCM DWT2 and YUV
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2014 |
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[47]
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Automated segmentation of skin lesions: Modified Fuzzy C mean thresholding based level set method
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Multi Topic Conference (INMIC), 2013 16th International. IEEE,
2013 |
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[48]
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Computer aided diagnostic support system for skin cancer: A review of techniques and algorithms
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International journal of biomedical imaging,
2013 |
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[49]
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Bilingual Visual Script Proof Based on Pre-trained Clustering and Neural Network
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