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Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.
Wan, Qi; Ren, Xiang; Wei, Ran; Yue, Shali; Wang, Lixiang; Yin, Hongbo; Tang, Jing; Zhang, Ming; Ma, Ke; Deng, Ying-Ping.
Afiliación
  • Wan Q; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Ren X; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Wei R; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Yue S; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Wang L; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Yin H; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Tang J; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Zhang M; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
  • Ma K; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China. 280463919@qq.com.
  • Deng YP; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China. dyp_wch@163.com.
Biol Proced Online ; 25(1): 15, 2023 Jun 02.
Article en En | MEDLINE | ID: mdl-37268878
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Biol Proced Online Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
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: Biol Proced Online Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido