Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images

Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images

Abstract Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal (GI) tract to be performed without any discomfort. Despite this, several characteristics, including efficacy, tolerance, safety, and performance, make it difficult to apply and modify widely. The use of...

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Bibliographic Details
Main Authors: Hassaan Malik, Ahmad Naeem, Abolghasem Sadeghi-Niaraki, Rizwan Ali Naqvi, Seung-Won Lee
Format: Article
Language:English
Published: Springer 2023-11-01
Series:Complex & Intelligent Systems
Subjects:
WCE
Deep learning
Capsule endoscopy
CNN
Gastrointestinal bleeding
Stomach diseases
Online Access:https://doi.org/10.1007/s40747-023-01271-5

Internet

https://doi.org/10.1007/s40747-023-01271-5

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