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Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.
Jiang, Y Q; Xiong, J H; Li, H Y; Yang, X H; Yu, W T; Gao, M; Zhao, X; Ma, Y P; Zhang, W; Guan, Y F; Gu, H; Sun, J F.
Afiliación
  • Jiang YQ; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Xiong JH; Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • Li HY; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, U.S.A.
  • Yang XH; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Yu WT; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Gao M; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Zhao X; Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • Ma YP; Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • Zhang W; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Guan YF; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, U.S.A.
  • Gu H; Department of Physiotherapy, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Sun JF; Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
Br J Dermatol ; 182(3): 754-762, 2020 03.
Article en En | MEDLINE | ID: mdl-31017653
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Br J Dermatol Año: 2020 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Br J Dermatol Año: 2020 Tipo del documento: Article País de afiliación: China