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HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation.
Wu, Renkai; Lv, Hongli; Liang, Pengchen; Cui, Xiaoxu; Chang, Qing; Huang, Xuan.
Afiliação
  • Wu R; Department of Dermatology, RuiJin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, Ch
  • Lv H; Department of Dermatology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China.
  • Liang P; Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Microelectronics, Shanghai University, Shanghai, China.
  • Cui X; Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Dermatology, Jiading District Central Hospital Affiliated Shanghai University of Medicine an
  • Chang Q; Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: robie0510@hotmail.com.
  • Huang X; Department of Dermatology, RuiJin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: 15021635156@126.com.
Comput Biol Med ; 168: 107798, 2024 01.
Article em En | MEDLINE | ID: mdl-38043470

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dermatopatias Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dermatopatias Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article