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Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.
Liu, Jinping; Liu, Hui; Gong, Subo; Tang, Zhaohui; Xie, Yongfang; Yin, Huazhan; Niyoyita, Jean Paul.
Affiliation
  • Liu J; Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China; Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), Hunan Normal University, Changsha 410081, China; Hunan Xiangjiang Artificial
  • Liu H; Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China; Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), Hunan Normal University, Changsha 410081, China.
  • Gong S; Department of geriatric medicine, the Second Xiangya Hospital of Central South University, Changsha 410011, China.
  • Tang Z; School of Automation, Central South University, Changsha 410083, China.
  • Xie Y; School of Automation, Central South University, Changsha 410083, China.
  • Yin H; Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China; Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, 410081, China.
  • Niyoyita JP; College of Science and Technology, University of Rwanda, Kigali 3286, Rwanda.
Med Image Anal ; 72: 102135, 2021 08.
Article in En | MEDLINE | ID: mdl-34182202
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Neural Networks, Computer Type of study: Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Neural Networks, Computer Type of study: Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Country of publication: Netherlands