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

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.

Affiliation

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 de En | MEDLINE | ID: mdl-31017653

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs cutanées / Carcinome basocellulaire / Apprentissage profond Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Br J Dermatol Année: 2020 Type de document: Article Pays d'affiliation: Chine

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