Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Gastroenterology

Volumn 154, Issue 8, 2018, Pages 2027-2029.e3

  Misawa, Masashi ^a   Kudo, Shin ei ^a   Mori, Yuichi ^a   Cho, Tomonari ^a   Kataoka, Shinichi ^a   Yamauchi, Akihiro ^a   Ogawa, Yushi ^a   Maeda, Yasuharu ^a   Takeda, Kenichi ^a   Ichimasa, Katsuro ^a   Nakamura, Hiroki ^a   Yagawa, Yusuke ^a   Toyoshima, Naoya ^a   Ogata, Noriyuki ^a   Kudo, Toyoki ^a   Hisayuki, Tomokazu ^a   Hayashi, Takemasa ^a   Wakamura, Kunihiko ^a   Baba, Toshiyuki ^a   Ishida, Fumio ^a   Itoh, Hayato ^b   Roth, Holger ^b   Oda, Masahiro ^b   Mori, Kensaku ^b   more..

^a SHOWA UNIVERSITY NORTHERN YOKOHAMA HOSPITAL   (Japan)

^b NAGOYA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL INTELLIGENCE; COLON POLYP; COLONOSCOPY; COLORECTAL POLYP; ENDOSCOPY; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; ADENOMA; AGED; CLINICAL TRIAL; COLON; COLON TUMOR; DIAGNOSTIC IMAGING; FEMALE; IMAGE PROCESSING; MALE; MEDICAL ERROR; MIDDLE AGED; PILOT STUDY; PREVENTION AND CONTROL; PROCEDURES;

ADENOMA; AGED; ARTIFICIAL INTELLIGENCE; COLON; COLONIC NEOPLASMS; COLONIC POLYPS; COLONOSCOPY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MEDICAL ERRORS; MIDDLE AGED; PILOT PROJECTS;

EID: 85047727693     PISSN: 00165085     EISSN: 15280012     Source Type: Journal    
DOI: 10.1053/j.gastro.2018.04.003     Document Type: Article

References (9)

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