Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence-Reference-Cited by-同舟云学术

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Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence

Published:2020-03-01 Issue:3 Volume:34 Page:352-358
ISSN:0892-7790
Container-title:Journal of Endourology
language:en
Short-container-title:Journal of Endourology

Author:

Ikeda Atsushi¹,Nosato Hirokazu²,Kochi Yuta²³,Kojima Takahiro⁴,Kawai Koji⁴,Sakanashi Hidenori²³,Murakawa Masahiro²³,Nishiyama Hiroyuki¹⁴

Affiliation:

1. Department of Urology, University of Tsukuba Hospital, Tsukuba, Japan.

2. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.

3. Department of Intelligent Interaction Technologies, Graduate School of System and Information Engineering, University of Tsukuba, Tsukuba, Japan.

4. Department of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.

Publisher

Mary Ann Liebert Inc

Subject

Urology

Link

https://www.liebertpub.com/doi/pdf/10.1089/end.2019.0509

Reference23 articles.

1. On the Origin of Syn- and Metachronous Urothelial Carcinomas

2. Variability in the Recurrence Rate at First Follow-up Cystoscopy after TUR in Stage Ta T1 Transitional Cell Carcinoma of the Bladder: A Combined Analysis of Seven EORTC Studies

3. Photodynamic Diagnosis in Non–Muscle-Invasive Bladder Cancer: A Systematic Review and Cumulative Analysis of Prospective Studies

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