Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience

Yoriaki Komeda; Hisashi Handa; Tomohiro Watanabe; Takanobu Nomura; Misaki Kitahashi; Toshiharu Sakurai; Ayana Okamoto; Tomohiro Minami; Masashi Kono; Tadaaki Arizumi; Mamoru Takenaka; Satoru Hagiwara; Shigenaga Matsui; Naoshi Nishida; Hiroshi Kashida; Masatoshi Kudo

doi:10.1159/000481227

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Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience

Article 2017 en

Abstract

1 min read

A CNN-CAD system using routine colonoscopy might be useful for the rapid diagnosis of colorectal polyp classification. Further prospective studies in an in vivo setting are required to confirm the effectiveness of a CNN-CAD system in routine colonoscopy.

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