relation: https://khub.utp.edu.my/scholars/8597/
title: Detection and classification of bleeding region in WCE images using color feature
creator: Suman, S.
creator: Hussin, F.A.B.
creator: Malik, A.S.
creator: Pogorelov, K.
creator: Riegler, M.
creator: Ho, S.H.
creator: Hilmi, I.
creator: Goh, K.L.
description: Wireless capsule endoscopy (WCE) is a modern and efficient technology to diagnose complete gastrointestinal tract (GIT) for various abnormalities. Due to long recording time of WCE, it acquires a huge amount of images, which is very tedious for clinical expertise to inspect each and every frame of a complete video footage. In this paper, an automated color feature based technique of bleeding detection is proposed. In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. An experimental evaluation shows that our method has promising bleeding detection performance with sensitivity and specificity higher than existing approaches. © 2017 Copyright is held by the owner/author(s).
publisher: Association for Computing Machinery
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Suman, S. and Hussin, F.A.B. and Malik, A.S. and Pogorelov, K. and Riegler, M. and Ho, S.H. and Hilmi, I. and Goh, K.L.  (2017) Detection and classification of bleeding region in WCE images using color feature.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030756852&doi=10.1145%2f3095713.3095731&partnerID=40&md5=2c3231a30767ccaa894450a682df0adc
relation: 10.1145/3095713.3095731
identifier: 10.1145/3095713.3095731