HIGHLIGHTS
- who: Ting Ma from the University of Minnesota Twin Cities, United States have published the paper: MRF-Net: A multi-branch residual fusion network for fast and accurate whole-brain MRI segmentation, in the Journal: (JOURNAL)
- what: The authors propose a novel segmentation network architecture, Multi-branch Residual Fusion Network (MRFNet), that could segment the whole brain into parcellations in seconds. The extensive To tackle the limitation of the high variability in size and shape between regions, the authors propose a multibranch cross-attention module (MCAM), which is able Frontiers in Neuroscience frontiersin.org 10 . . .
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