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
收藏
页码：AB646 / AB647
页数：2
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