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Deep Learning Could Diagnose Diabetic Nephropathy with Renal Pathological Immunofluorescent Images.
Kitamura, Shinji; Takahashi, Kensaku; Sang, Yizhen; Fukushima, Kazuhiko; Tsuji, Kenji; Wada, Jun.
Afiliación
  • Kitamura S; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
  • Takahashi K; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
  • Sang Y; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
  • Fukushima K; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
  • Tsuji K; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
  • Wada J; Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-shi, Okayama 700-8558, Japan.
Diagnostics (Basel) ; 10(7)2020 Jul 09.
Article en En | MEDLINE | ID: mdl-32660112
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza