[1]
|
Gastrointestinal Diseases Classification Using Deep Transfer Learning and Features Optimization
Computers, Materials & Continua,
2023
DOI:10.32604/cmc.2023.031890
|
|
|
[2]
|
Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images
Computers in Biology and Medicine,
2023
DOI:10.1016/j.compbiomed.2023.106723
|
|
|
[3]
|
Localization and Classification of Gastrointestinal Tract Disorders Using Explainable AI from Endoscopic Images
Applied Sciences,
2023
DOI:10.3390/app13159031
|
|
|
[4]
|
Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images
Computers in Biology and Medicine,
2023
DOI:10.1016/j.compbiomed.2023.106723
|
|
|
[5]
|
High-Speed and Accurate Diagnosis of Gastrointestinal Disease: Learning on Endoscopy Images Using Lightweight Transformer with Local Feature Attention
Bioengineering,
2023
DOI:10.3390/bioengineering10121416
|
|
|
[6]
|
Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks
Sensors,
2023
DOI:10.3390/s23249717
|
|
|
[7]
|
Contrastive Self-Supervised Learning on Crohn’s Disease Detection
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2022
DOI:10.1109/BIBM55620.2022.9995504
|
|
|
[8]
|
Contrastive Self-Supervised Learning on Crohn’s Disease Detection
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2022
DOI:10.1109/BIBM55620.2022.9995504
|
|
|
[9]
|
AUTOMATED POLYP DETECTION IN COLONOSCOPY VIDEOS USING IMAGE ENHANCEMENT AND SALIENCY DETECTION ALGORITHM
Biomedical Engineering: Applications, Basis and Communications,
2022
DOI:10.4015/S1016237222500016
|
|
|
[10]
|
Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks
Journal of Digital Imaging,
2022
DOI:10.1007/s10278-022-00591-1
|
|
|
[11]
|
Time-based self-supervised learning for Wireless Capsule Endoscopy
Computers in Biology and Medicine,
2022
DOI:10.1016/j.compbiomed.2022.105631
|
|
|
[12]
|
3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks
Complex & Intelligent Systems,
2022
DOI:10.1007/s40747-021-00328-7
|
|
|
[13]
|
Robust Ulcer Classification: Contrast and Illumination Invariant Approach
Diagnostics,
2022
DOI:10.3390/diagnostics12122898
|
|
|
[14]
|
A Real-Time Video Analysis Software Based on Deep Convolutional Neural Networks (DCNN) for Useful and Effective Endoscopy Video Storage
2021 3rd International Conference on Intelligent Medicine and Image Processing,
2021
DOI:10.1145/3468945.3468947
|
|
|
[15]
|
A Real-Time Video Analysis Software Based on Deep Convolutional Neural Networks (DCNN) for Useful and Effective Endoscopy Video Storage
2021 3rd International Conference on Intelligent Medicine and Image Processing,
2021
DOI:10.1145/3468945.3468947
|
|
|
[16]
|
Gastric Tract Infections Detection and Classification from Wireless Capsule Endoscopy using Computer Vision Techniques: A Review
Current Medical Imaging Formerly Current Medical Imaging Reviews,
2021
DOI:10.2174/1573405616666200425220513
|
|
|
[17]
|
Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis
Journal of Medical Internet Research,
2021
DOI:10.2196/33267
|
|
|
[18]
|
Multi-Task Model for Esophageal Lesion Analysis Using Endoscopic Images: Classification with Image Retrieval and Segmentation with Attention
Sensors,
2021
DOI:10.3390/s22010283
|
|
|
[19]
|
Cyber Security and Computer Science
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
2020
DOI:10.1007/978-3-030-52856-0_39
|
|
|
[20]
|
A Study on Wireless Capsule Endoscopy for Small Intestinal Lesions Detection Based on Deep Learning Target Detection
IEEE Access,
2020
DOI:10.1109/ACCESS.2020.3019888
|
|
|
[21]
|
Convenient Way to Detect Ulcer in Wireless Capsule Endoscopy Through Fuzzy Logic Technique
2020 IEEE Region 10 Symposium (TENSYMP),
2020
DOI:10.1109/TENSYMP50017.2020.9231004
|
|
|
[22]
|
StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification
IEEE Access,
2020
DOI:10.1109/ACCESS.2020.3034217
|
|
|
[23]
|
Gastrointestinal diagnosis using non-white light imaging capsule endoscopy
Nature Reviews Gastroenterology & Hepatology,
2019
DOI:10.1038/s41575-019-0140-z
|
|
|
[24]
|
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
Sensors,
2019
DOI:10.3390/s19061265
|
|
|
[25]
|
Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images
IET Image Processing,
2019
DOI:10.1049/iet-ipr.2018.6232
|
|
|
[26]
|
Bleeding detection in wireless capsule endoscopy videos - Color versus texture features
Journal of Applied Clinical Medical Physics,
2019
DOI:10.1002/acm2.12662
|
|
|
[27]
|
A locally based feature descriptor for abnormalities detection
Soft Computing,
2019
DOI:10.1007/s00500-019-04208-8
|
|
|
[28]
|
Second glance framework (secG): enhanced ulcer detection with deep learning on a large wireless capsule endoscopy dataset
Fourth International Workshop on Pattern Recognition,
2019
DOI:10.1117/12.2540456
|
|
|
[29]
|
Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization
Computational and Mathematical Methods in Medicine,
2019
DOI:10.1155/2019/7546215
|
|
|
[30]
|
Ulcer Detection in Image Converted from Video Footage of Wireless Capsule Endoscopy
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT),
2019
DOI:10.1109/ICASERT.2019.8934597
|
|
|
[31]
|
Discretion Way for Bleeding Detection in Wireless Capsule Endoscopy Images
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT),
2019
DOI:10.1109/ICASERT.2019.8934589
|
|
|
[32]
|
A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks
Physics in Medicine & Biology,
2019
DOI:10.1088/1361-6560/ab5086
|
|
|
[33]
|
Bleeding detection in wireless capsule endoscopy videos — Color versus texture features
Journal of Applied Clinical Medical Physics,
2019
DOI:10.1002/acm2.12662
|
|
|
[34]
|
Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images
Multimedia Tools and Applications,
2018
DOI:10.1007/s11042-018-6086-2
|
|
|
[35]
|
Multiple bleeding detection in wireless capsule endoscopy
Signal, Image and Video Processing,
2018
DOI:10.1007/s11760-018-1336-3
|
|
|
[36]
|
Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images
Physics in Medicine & Biology,
2018
DOI:10.1088/1361-6560/aad51c
|
|
|
[37]
|
Real-time identification of blood regions for hemostasis support in laparoscopic surgery
Signal, Image and Video Processing,
2018
DOI:10.1007/s11760-018-1369-7
|
|
|
[38]
|
Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP),
2017
DOI:10.1109/ATSIP.2017.8075590
|
|
|
[39]
|
A fully automated ulcer detection system for wireless capsule endoscopy images
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP),
2017
DOI:10.1109/ATSIP.2017.8075599
|
|
|
[40]
|
Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images
Applied Sciences,
2017
DOI:10.3390/app7101097
|
|
|
[41]
|
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process
Medical Image Analysis,
2016
DOI:10.1016/j.media.2016.04.007
|
|
|
[42]
|
Generic feature learning for wireless capsule endoscopy analysis
Computers in Biology and Medicine,
2016
DOI:10.1016/j.compbiomed.2016.10.011
|
|
|
[43]
|
A new method for ulcer detection in endoscopic images
2015 2nd International Conference on Electronics and Communication Systems (ICECS),
2015
DOI:10.1109/ECS.2015.7124881
|
|
|
[44]
|
Determination of ulcer in the digestive tract using image analysis in wireless capsule endoscopy
Biomedical Spectroscopy and Imaging,
2015
DOI:10.3233/BSI-150124
|
|
|