Rapid Polyp Classification in Colonoscopy Using Textural and Convolutional Features

Rapid Polyp Classification in Colonoscopy Using Textural and Convolutional Features

Colorectal cancer is the leading cause of cancer-associated morbidity and mortality worldwide. One of the causes of developing colorectal cancer is untreated colon adenomatous polyps. Clinically, polyps are detected in colonoscopy and the malignancies are determined according to the biopsy. To provi...

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Bibliographic Details
Main Authors: Chung-Ming Lo, Yu-Hsuan Yeh, Jui-Hsiang Tang, Chun-Chao Chang, Hsing-Jung Yeh
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Healthcare
Subjects:
colorectal cancer
colon polyp
image features
convolutional neural network
Online Access:https://www.mdpi.com/2227-9032/10/8/1494

Internet

https://www.mdpi.com/2227-9032/10/8/1494

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