Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images

Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation and subsequent classification. This research propos...

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Bibliographic Details
Main Authors:	Haya Alaskar, Abir Hussain, Nourah Al-Aseem, Panos Liatsis, Dhiya Al-Jumeily
Format:	Article
Language:	English
Published:	MDPI AG 2019-03-01
Series:	Sensors
Subjects:	deep learning networks AlexNet GoogLeNet convolutional neural networks wireless capsule endoscopy ulcer detection
Online Access:	http://www.mdpi.com/1424-8220/19/6/1265

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