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Tumor attention networks: Better feature selection, better tumor segmentation.
Pang, Shuchao; Du, Anan; Orgun, Mehmet A; Wang, Yunyun; Yu, Zhenmei.
Affiliation
  • Pang S; Department of Computing, Macquarie University, Sydney, NSW 2109, Australia. Electronic address: shuchao.pang@hdr.mq.edu.au.
  • Du A; School of Electrical and Data Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: anan.du@student.uts.edu.au.
  • Orgun MA; Department of Computing, Macquarie University, Sydney, NSW 2109, Australia; Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa 999078, Macau, China. Electronic address: mehmet.orgun@mq.edu.au.
  • Wang Y; Department of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun 130012, China. Electronic address: wangyunyun@jlu.edu.cn.
  • Yu Z; School of Data and Computer Science, Shandong Women's University, Jinan 250014, China. Electronic address: zhenmei_yu@sdwu.edu.cn.
Neural Netw ; 140: 203-222, 2021 Aug.
Article in En | MEDLINE | ID: mdl-33780873
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Tomography, X-Ray Computed / Neural Networks, Computer / Liver Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2021 Document type: Article Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Tomography, X-Ray Computed / Neural Networks, Computer / Liver Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2021 Document type: Article Country of publication: United States