Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

Liu, Bojing; Wang, Yinxi; Weitz, Philippe; Lindberg, Johan; Hartman, Johan; Wang, Wanzhong; Egevad, Lars; Grönberg, Henrik; Eklund, Martin; Rantalainen, Mattias

Liu, Bojing; Wang, Yinxi; Weitz, Philippe; Lindberg, Johan; Hartman, Johan; Wang, Wanzhong; Egevad, Lars; Grönberg, Henrik; Eklund, Martin; Rantalainen, Mattias.

Afiliação

Liu B; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Wang Y; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Weitz P; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Lindberg J; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Hartman J; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 171 64, Sweden.
Wang W; Clinical Pathology/Cytology, Karolinska University Hospital, Stockholm 171 76, Sweden.
Egevad L; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 171 64, Sweden.
Grönberg H; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Eklund M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.
Rantalainen M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden.

iScience ; 25(7): 104663, 2022 Jul 15.

Article em En | MEDLINE | ID: mdl-35832894

Palavras-chave

Artificial intelligence; Biopsy sample; Endocrinology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: IScience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia

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