Sandile Mhlanga

Deep learning model for infant brain tissue segmentation using 3D patch-wise U-Net with weighted-average reconstruction

Low tissue contrast and motion errors make it difficult to accurately segment gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) from baby brain MRI. For automated segmentation of baby brain tissues, this study proposes a 3D patch-wise U-Net architecture with a we...