Computer‐aided diagnosis system for ulcer detection in wireless capsule endoscopy images
Author:
Affiliation:
1. LabSIV, Department of Computer ScienceIbn Zohr UniversityBP, 810680000AgadirMorocco
2. Oslo University Hospital and Department of Electronic Systems, Norwegian University of Science and TechnologyNorway
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6232
Reference58 articles.
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2. LiZ. CarterD. andEliakimR.et al: ‘The current main types of capsule endoscopy’.2014 pp.5–45
3. Current and future applications of the capsule camera;Qureshi W.A.;Nat. Rev. Drug Discovery,2004
4. Performance Characteristics of the Suspected Blood Indicator Feature in Capsule Endoscopy According to Indication for Study
5. Robust hidden Markov model based intelligent blood vessel detection of fundus images;Hassan M.;Comput. Methods Programs Biomed.,2017
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