Deep learning-based multiclass brain tissue segmentation in fetal mris

HIGHLIGHTS

• who: Xiaona Huang et al. from the Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Department of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China have published the paper: Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: Focusing on these two problems, the main contribution of this work is to design a new network structure, which combines CNN and transformer. The authors proposed an automatic segmentation algorithm for fetal brain . . .
  

   

  

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