Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-018-6086-2.pdf
Reference40 articles.
1. Charfi S, El Ansari M (2017) Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos. In: 2017 international conference on advanced technologies for signal and image processing (ATSIP). IEEE, pp 1–5
2. Charfi S, El Ansari M (2017) Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos. In: Proceedings of the second international conference on internet of things and cloud computing. ACM, p 111
3. Charfi S, El Ansari M (2018) Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. Multimedia Tools and Applications 77(3):4047–4064. Springer
4. Charisis V, Hadjileontiadis L, Sergiadis G (2012) Enhanced ulcer recognition from capsule endoscopic images using texture analysis. In: New advances in the basic and clinical gastroenterology. InTech
5. Charisis VS, Katsimerou C, Hadjileontiadis LJ, Liatsos CN, Sergiadis GD (2013) Computer-aided capsule endoscopy images evaluation based on color rotation and texture features: an educational tool to physicians. In: 2013 IEEE 26th international symposium on computer-based medical systems (CBMS). IEEE, pp 203–208
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