Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning

Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning

<b>Background:</b> Classification of colorectal neoplasms during colonoscopic examination is important to avoid unnecessary endoscopic biopsy or resection. This study aimed to develop and validate deep learning models that automatically classify colorectal lesions histologically on white...

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Bibliographic Details
Main Authors: Young Joo Yang, Bum-Joo Cho, Myung-Je Lee, Ju Han Kim, Hyun Lim, Chang Seok Bang, Hae Min Jeong, Ji Taek Hong, Gwang Ho Baik
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Clinical Medicine
Subjects:
colonoscopy
colorectal neoplasm
artificial intelligence
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/2077-0383/9/5/1593

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https://www.mdpi.com/2077-0383/9/5/1593

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