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A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment.
Zhu, Chen-Yu; Wang, Yu-Kun; Chen, Hai-Peng; Gao, Kun-Lun; Shu, Chang; Wang, Jun-Cheng; Yan, Li-Feng; Yang, Yi-Guang; Xie, Feng-Ying; Liu, Jie.
Affiliation
  • Zhu CY; Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang YK; Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Chen HP; DeepWise AI Lab, Beijing, China.
  • Gao KL; DeepWise AI Lab, Beijing, China.
  • Shu C; Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang JC; Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yan LF; DeepWise AI Lab, Beijing, China.
  • Yang YG; Image Processing Center, School of Astronautics, Beihang University, Beijing, China.
  • Xie FY; Image Processing Center, School of Astronautics, Beihang University, Beijing, China.
  • Liu J; Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Med (Lausanne) ; 8: 626369, 2021.
Article in En | MEDLINE | ID: mdl-33937279
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Med (Lausanne) Year: 2021 Document type: Article Affiliation country: China Country of publication: Switzerland
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Med (Lausanne) Year: 2021 Document type: Article Affiliation country: China Country of publication: Switzerland