A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens

Author:

Nojima Satoshi1ORCID,Terayama Kei2345,Shimoura Saeko3,Hijiki Sachiko1,Nonomura Norio6,Morii Eiichi1,Okuno Yasushi35,Fujita Kazutoshi67

Affiliation:

1. Department of Pathology Osaka University Graduate School of Medicine Osaka Japan

2. Graduate School of Medical Life Science Yokohama City University Kanagawa Japan

3. Graduate School of Medicine Kyoto University Kyoto Japan

4. RIKEN Center for Advanced Intelligence Project Tokyo Japan

5. Medical Sciences Innovation Hub ProgramRIKEN Cluster for Science, Technology, and Innovation Hub Kanagawa Japan

6. Department of Urology Osaka University Graduate School of Medicine Osaka Japan

7. Department of Urology Kindai University Faculty of Medicine Osaka Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Cancer Research,Oncology

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