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UCR-Net: U-shaped context residual network for medical image segmentation.
Sun, Qi; Dai, Mengyun; Lan, Ziyang; Cai, Fanggang; Wei, Lifang; Yang, Changcai; Chen, Riqing.
Afiliação
  • Sun Q; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: sunqi9696@126.com.
  • Dai M; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: mengyundai@126.com.
  • Lan Z; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: lzy121ly@163.com.
  • Cai F; Department of vascular surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350108, China. Electronic address: cfg453@163.com.
  • Wei L; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: weilifang1981@163.com.
  • Yang C; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: changcaiyang@gmail.com.
  • Chen R; Digital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: riqing.chen@fafu.edu.cn.
Comput Biol Med ; 151(Pt A): 106203, 2022 12.
Article em En | MEDLINE | ID: mdl-36306581
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Artéria Femoral Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Artéria Femoral Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article