ARTIFICIAL INTELLIGENCE-ASSISTED POLYP DETECTION SYSTEM FOR COLONOSCOPY, BASED ON THE LARGEST AVAILABLE COLLECTION OF CLINICAL VIDEO DATA FOR MACHINE LEARNING

被引：9

作者：

Misawa, Masashi ^{[2
]}

Kudo, Shinei ^{[2
]}

Mori, Yuichi ^{[2
]}

Cho, Tomonari ^{[2
]}

Kataoka, Shinichi ^{[2
]}

Maeda, Yasuharu ^{[2
]}

Ogawa, Yushi ^{[2
]}

Takeda, Kenichi ^{[2
]}

Nakamura, Hiroki ^{[2
]}

Ichimasa, Katsuro ^{[2
]}

Toyoshima, Naoya ^{[2
]}

Ogata, Noriyuki ^{[2
]}

Kudo, Toyoki ^{[2
]}

Hisayuki, Tomokazu ^{[2
]}

Hayashi, Takemasa ^{[2
]}

Wakamura, Kunihiko ^{[2
]}

Baba, Toshiyuki ^{[2
]}

Ishida, Fumio ^{[2
]}

Itoh, Hayato ^{[1
]}

Oda, Masahiro ^{[1
]}

Mori, Kensaku ^{[1
]}

机构：

[1] Nagoya Univ, Grad Sch Informat, Nagoya, Aichi, Japan

[2] Showa Univ, Northern Yokohama Hosp, Digest Dis Ctr, Yokohama, Kanagawa, Japan

来源：

GASTROINTESTINAL ENDOSCOPY | 2019年 / 89卷 / 06期

关键词：

D O I：

10.1016/j.gie.2019.03.1134

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Tu1990

引用

页码：AB646 / AB647

页数：2

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