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Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework.
Xu, Chenchu; Wu, Xue; Wang, Boyan; Chen, Jie; Gao, Zhifan; Liu, Xiujian; Zhang, Heye.
Affiliation
  • Xu C; Artificial Intelligence Institute, Anhui University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
  • Wu X; Artificial Intelligence Institute, Anhui University, Hefei, China.
  • Wang B; Department of Computer Science and Technology, Tsinghua University, Beijing, China. Electronic address: wby000000@mail.tsinghua.edu.cn.
  • Chen J; Artificial Intelligence Institute, Anhui University, Hefei, China.
  • Gao Z; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
  • Liu X; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China. Electronic address: liuxj86@mail.sysu.edu.cn.
  • Zhang H; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
Comput Med Imaging Graph ; 116: 102414, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38981250
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multimodal Imaging / Liver Neoplasms Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multimodal Imaging / Liver Neoplasms Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos