Learning to detect boundary information for brain image segmentation

HIGHLIGHTS

  • who: Afifa Khaled from the School of Computer Science University of Science and Technology, Wuhan, China have published the research work: Learning to detect boundary information for brain image segmentation, in the Journal: (JOURNAL)
  • what: The authors propose a boundary detection-based model for brain image segmentation. The authors design a boundary information module (BIM) to distinguish boundau2011 ries from the three different brain tissues. The authors evaluate the proposed model on two datasets of brain tissue images including infant and adult brains. The extensive evaluation experiments of the model show better performance (a Dice . . .

     

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