Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model

Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model

Wireless capsule endoscopy (WCE) is an efficient tool to investigate gastrointestinal tract disorders and perform painless imaging of the intestine. Despite that, several concerns make its wide applicability and adaptation challenging like efficacy, tolerance, safety, and performance. Besides, autom...

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Bibliographic Details
Main Authors: Furqan Rustam, Muhammad Abubakar Siddique, Hafeez Ur Rehman Siddiqui, Saleem Ullah, Arif Mehmood, Imran Ashraf, Gyu Sang Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wireless capsule endoscopy
deep learning
computer vision
gastrointestinal tract infection
classification
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9360830/
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