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Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution.
Zeng, Xueqiang; Guo, Yingwei; Zaman, Asim; Hassan, Haseeb; Lu, Jiaxi; Xu, Jiaxuan; Yang, Huihui; Miao, Xiaoqiang; Cao, Anbo; Yang, Yingjian; Chen, Rongchang; Kang, Yan.
Affiliation
  • Zeng X; School of Applied Technology, Shenzhen University, Shenzhen 518060, China.
  • Guo Y; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Zaman A; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Hassan H; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Lu J; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Xu J; School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen 518060, China.
  • Yang H; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Miao X; School of Applied Technology, Shenzhen University, Shenzhen 518060, China.
  • Cao A; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Yang Y; State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
  • Chen R; School of Applied Technology, Shenzhen University, Shenzhen 518060, China.
  • Kang Y; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
Diagnostics (Basel) ; 13(13)2023 Jun 25.
Article in En | MEDLINE | ID: mdl-37443556
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China