A fully automated novel urine cytology support artificial intelligence system for the prediction of histological high-grade urothelial carcinoma: External validation study

被引：0

作者：

Kaneko, M. ^{[1
]}

Harada, Y. ^{[1
]}

Tsuji, K. ^{[1
]}

Paralkar, D. ^{[2
]}

Fujihara, A. ^{[1
]}

Ueno, K. ^{[3
]}

Nakanishi, M. ^{[3
]}

Konishi, E. ^{[4
]}

Takamatsu, T. ^{[5
]}

Horiguchi, G. ^{[6
]}

Teramukai, S. ^{[6
]}

Ito-Ihara, T. ^{[7
]}

Abreu, A. L. ^{[8
]}

Ukimura, O. ^{[1
]}

机构：

[1] Kyoto Prefectural Univ Med, Dept Urol, Kyoto, Japan

[2] Univ Southern Calif, Dept Pathol & Urol, Los Angeles, CA 90007 USA

[3] KYOCERA Commun Syst Co Ltd, Corp R&D Dept, Kyoto, Japan

[4] Kyoto Prefectural Univ Med, Dept Surg Pathol, Kyoto, Japan

[5] Kyoto Prefectural Univ Med, Dept Med Photon, Kyoto, Japan

[6] Kyoto Prefectural Univ Med, Dept Biostat, Kyoto, Japan

[7] Kyoto Prefectural Univ Med, Dept Clin & Translat Res Ctr, Kyoto, Japan

[8] Univ Southern Calif, Dept Urol & Radiol, Los Angeles, CA 90007 USA

来源：

关键词：

D O I：

暂无

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

A1020

引用

页码：S2119 / S2120

页数：2