Bleeding and Ulcer Detection Using Wireless Capsule Endoscopy Images

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"Bleeding and Ulcer Detection Using Wireless Capsule Endoscopy Images"
written by Jinn-Yi Yeh, Tai-Hsi Wu, Wei-Jun Tsai,
published by Journal of Software Engineering and Applications, Vol.7 No.5, 2014

has been cited by the following article(s):

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[1]	Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images
	2019

[2]	Gastrointestinal diagnosis using non-white light imaging capsule endoscopy
	2019

[3]	Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
	2019

[4]	Bleeding detection in wireless capsule endoscopy videos—Color versus texture features
	2019

[5]	Second glance framework (secG): enhanced ulcer detection with deep learning on a large wireless capsule endoscopy dataset
	2019

[6]	Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization
	2019

[7]	A locally based feature descriptor for abnormalities detection
	2019

[8]	Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images
	Multimedia Tools and Applications, 2018

[9]	EMPIRICAL COMPARISON OF VISUAL DESCRIPTORS FOR ULCER RECOGNITION IN WIRELESS CAPSULE ENDOSCOPY VIDEO
	Computer Science & Information Technology (CS & IT), 2018

[10]	Real-time identification of blood regions for hemostasis support in laparoscopic surgery
	Signal, Image and Video Processing, 2018

[11]	Multiple bleeding detection in wireless capsule endoscopy
	Signal, Image and Video Processing, 2018

[12]	Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images
	Physics in Medicine & Biology, 2018

[13]	Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images
	2018

[14]	Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images
	Applied Sciences, 2017

[15]	A fully automated ulcer detection system for wireless capsule endoscopy images
	2017

[16]	Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos
	2017

[17]	Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process
	Medical image analysis, 2016

[18]	Generic Feature Learning for Wireless Capsule Endoscopy Analysis
	2016

[19]	Automatic Small Intestinal Ulcer Detection in Capsule Endoscopy Images
	International Journal of Scientific & Engineering Research, 2016

[20]	Ulcer Detection and Classification of Wireless Capsule Endoscopy Images Using RGB Masking
	Advanced Science Letters, 2016

[21]	Comparison of computer aided diagnostic system for wireless capsule endoscopy images using various filters
	Advances in Natural and Applied Sciences, 2016

[22]	Study on Anomaly Image Detection for Capsule Endoscopy Diagnosis Support
	Thesis, 2016

[23]	Customizable 3-D Virtual GI Tract Systems For Locating, Mapping, And Navigation Inside Human Gastrointestinal Tract
	2016

[24]	Mining Breast Cancer Classification Rules from Mammograms
	Journal of Intelligent Systems, 2015

[25]	Determination of ulcer in the digestive tract using image analysis in wireless capsule endoscopy
	Biomedical Spectroscopy and Imaging, 2015

[26]	A new method for ulcer detection in endoscopic images
	Electronics and Communication Systems (ICECS), 2015 2nd International Conference on, 2015

[27]	Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy

[1]	Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images Sensors, 2019 DOI:10.3390/s19061265

[2]	Gastrointestinal diagnosis using non-white light imaging capsule endoscopy Nature Reviews Gastroenterology & Hepatology, 2019 DOI:10.1038/s41575-019-0140-z

[3]	Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images IET Image Processing, 2019 DOI:10.1049/iet-ipr.2018.6232

[4]	Bleeding detection in wireless capsule endoscopy videos - Color versus texture features Journal of Applied Clinical Medical Physics, 2019 DOI:10.1002/acm2.12662

[5]	A locally based feature descriptor for abnormalities detection Soft Computing, 2019 DOI:10.1007/s00500-019-04208-8

[6]	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

[7]	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

[8]	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

[9]	Multiple bleeding detection in wireless capsule endoscopy Signal, Image and Video Processing, 2018 DOI:10.1007/s11760-018-1336-3

[10]	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

[11]	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

[12]	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

[13]	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

[14]	Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images Applied Sciences, 2017 DOI:10.3390/app7101097

[15]	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

[16]	Generic feature learning for wireless capsule endoscopy analysis Computers in Biology and Medicine, 2016 DOI:10.1016/j.compbiomed.2016.10.011

[17]	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

[18]	Determination of ulcer in the digestive tract using image analysis in wireless capsule endoscopy Biomedical Spectroscopy and Imaging, 2015 DOI:10.3233/BSI-150124