Apparent Anatomical Variability Through Rigid Augmentation Enables Reliable Corpus Callosum Segmentation
Daniel Menezes Guimarães, Diego Szczupak, Vinícius P. Campos…·Fernanda Freire Tovar-Moll
This study develops a pipeline to generate synthetic MRI scans with anatomical variation and trains a U-Net model to segment the corpus callosum in marmosets, achieving high accuracy in both healthy and disease contexts.