WHICH REGION DOES ARTIFICIAL INTELLIGENCE LOOK AT TO PREDICT T1B COLORECTAL CANCER?: ANALYSIS BASED ON CLASS ACTIVATION MAPPING

被引：0

作者：

Nakajima, Yuki ^{[1
]}

Nemoto, Daiki ^{[1
]}

Zhu, Xin ^{[2
]}

Guo, Zhe ^{[2
]}

Li, Qin ^{[2
]}

Aizawa, Masato ^{[1
]}

Utano, Kenichi ^{[1
]}

Isohata, Noriyuki ^{[1
]}

Endo, Shungo ^{[1
]}

Shibukawa, Goro ^{[1
]}

Katsuki, Shinichi ^{[3
]}

Sagara, Yuichi ^{[4
]}

Takezawa, Takahito ^{[4
]}

Hayashi, Yoshikazu ^{[4
]}

Yamamoto, Hironori ^{[4
]}

Hewett, David G. ^{[5
]}

Togashi, Kazutomo ^{[1
]}

机构：

[1] FMU, Aizu Med Ctr, Coloproctol & Gastroenterol, Aizu Wakamatsu, Fukushima, Japan

[2] Univ Aizu, Aizu Wakamatsu, Fukushima, Japan

[3] Otaru Ekisaikai Hosp, Otaru, Hokkaido, Japan

[4] Jichi Med Univ, Shimotsuke, Tochigi, Japan

[5] Univ Queensland, Sch Med, Brisbane, Qld, Australia

来源：

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D O I：

暂无

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Sa2046

引用

页码：AB257 / AB258

页数：2