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

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

Open Access

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

Author(s) -

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

Publication year - 2017

Publication title -

oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.987

H-Index - 98

eISSN - 1423-0232

pISSN - 0030-2414

DOI - 10.1159/000481227

Subject(s) - convolutional neural network , cad , medicine , colonoscopy , artificial intelligence , computer aided diagnosis , radiology , colorectal cancer , computer science , cancer , biology , biochemistry

Computer-aided diagnosis (CAD) is becoming a next-generation tool for the diagnosis of human disease. CAD for colon polyps has been suggested as a particularly useful tool for trainee colonoscopists, as the use of a CAD system avoids the complications associated with endoscopic resections. In addition to conventional CAD, a convolutional neural network (CNN) system utilizing artificial intelligence (AI) has been developing rapidly over the past 5 years. We attempted to generate a unique CNN-CAD system with an AI function that studied endoscopic images extracted from movies obtained with colonoscopes used in routine examinations. Here, we report our preliminary results of this novel CNN-CAD system for the diagnosis of colon polyps.

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