Your browser doesn't support javascript.
loading
Deep learning-based fully automated differential diagnosis of eyelid basal cell and sebaceous carcinoma using whole slide images.
Luo, Yingxiu; Zhang, Jiayi; Yang, Yidi; Rao, Yamin; Chen, Xingyu; Shi, Tianlei; Xu, Shiqiong; Jia, Renbing; Gao, Xin.
Afiliación
  • Luo Y; Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang J; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
  • Yang Y; Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
  • Rao Y; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, China.
  • Chen X; Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shi T; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
  • Xu S; Department of Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jia R; Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Gao X; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
Quant Imaging Med Surg ; 12(8): 4166-4175, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35919066
Palabras clave
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: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: China
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: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: China