Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network

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Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network

This paper investigates the performance of a Deep Convolutional Neural Network (DCNN) algorithm to identify bleeding areas of wireless capsule endoscopy (WCE) images without known prior knowledge of bleeding and normal features of the images. In this study, a pre-processing technique has been propos...

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Bibliographic Details
Main Authors:	Rosdiana, Shahril, Saito, Atsushi, Shimizu, Akinobu, Sabariah, Baharun
Format:	Article
Language:	English
Published:	Institute of Information Science 2020
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26711/ http://umpir.ump.edu.my/id/eprint/26711/1/Bleeding%20classification%20of%20enhanced%20wireless%20capsule%20endoscopy%20images%20.pdf

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