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Deep-learning-based survival prediction of patients with cutaneous malignant melanoma.
Yu, Hai; Yang, Wei; Wu, Shi; Xi, Shaohui; Xia, Xichun; Zhao, Qi; Ming, Wai-Kit; Wu, Lifang; Hu, Yunfeng; Deng, Liehua; Lyu, Jun.
Affiliation
  • Yu H; Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China.
  • Yang W; Office of Drug Clinical Trial Institution, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Wu S; Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China.
  • Xi S; School of Mechatronical Engineering, Guangdong Polytechnic Normal University, Guangzhou, China.
  • Xia X; Institute of Biomedical Transformation, Jinan University, Guangzhou, China.
  • Zhao Q; Cancer Centre, Faculty of Health Sciences, University of Macau, Macau, China.
  • Ming WK; Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China.
  • Wu L; Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China.
  • Hu Y; Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China.
  • Deng L; Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China.
  • Lyu J; Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China.
Front Med (Lausanne) ; 10: 1165865, 2023.
Article in En | MEDLINE | ID: mdl-37051218
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Med (Lausanne) Year: 2023 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: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Med (Lausanne) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland