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RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
Li, Yuan-Zhe; Wang, Yi; Huang, Yin-Hui; Xiang, Ping; Liu, Wen-Xi; Lai, Qing-Quan; Gao, Yi-Yuan; Xu, Mao-Sheng; Guo, Yi-Fan.
Afiliação
  • Li YZ; Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Wang Y; Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Huang YH; Department of Neurology, Jinjiang Municipal Hospital, Quanzhou 362000, China.
  • Xiang P; Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou 310000, China.
  • Liu WX; Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Lai QQ; Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Gao YY; Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou 310000, China.
  • Xu MS; Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou 310000, China. Electronic address: xums166@zcmu.edu.cn.
  • Guo YF; Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou 310000, China. Electronic address: 20193071@zcmu.edu.cn.
Comput Methods Programs Biomed ; 231: 107437, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36863157

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Benchmarking / Coração Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Benchmarking / Coração Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China