Comparison of the Ability of Artificial-Intelligence-Based Computer-Aided Detection (CAD) Systems and Endoscopists to Detect Colorectal Neoplastic Lesions on Endoscopy Video

Comparison of the Ability of Artificial-Intelligence-Based Computer-Aided Detection (CAD) Systems and Endoscopists to Detect Colorectal Neoplastic Lesions on Endoscopy Video

Artificial-intelligence-based computer-aided diagnosis (CAD) systems have developed remarkably in recent years. These systems can help increase the adenoma detection rate (ADR), an important quality indicator in colonoscopies. While there have been many still-image-based studies on the usefulness of...

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Bibliographic Details
Main Authors: Yoshitsugu Misumi, Kouichi Nonaka, Miharu Takeuchi, Yu Kamitani, Yasuhiro Uechi, Mai Watanabe, Maiko Kishino, Teppei Omori, Maria Yonezawa, Hajime Isomoto, Katsutoshi Tokushige
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Journal of Clinical Medicine
Subjects:
computer-aided detection/diagnosis
colorectal polyp
colonoscopy
Online Access:https://www.mdpi.com/2077-0383/12/14/4840

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