Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation
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DOI: 10.3390/bioengineering10020181
Abstract: Deep-learning methods for auto-segmenting brain images either segment one slice of the image (2D), five consecutive slices of the image (2.5D), or an entire volume of the image (3D). Whether one approach is superior for… read more here.
Keywords: brain; auto; computational memory; auto segmentation ... See more keywords