id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-027730-xn12s005	Jlassi, Amal	Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans	2020-05-31		.txt	text/plain	3940	206	51	title: Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans Differently, Hofer proposed the only work based on tractography of DTI (Diffusion Tensor Imaging) by subdividing the CC into five regions from an average behavior observed via tractography in a specific population of 8 subjects [1] . On the second hand, differently to geometric parcellation methods, Rittner proposed a data-driven method based on the Watershed technique [15] . We propose a CC parcellation method based on SLIC, which is non-geometric and fully automatic superpixel segmentation technique. For the evaluation of the proposed parcellation method, we are the only study that used brain MRI scans from two public datasets. Since the Hofer and Witelson CC parcellation methods are based on geometric CC parcellation, their results did not vary among different subjects throughout the experimented dataset.	./cache/cord-027730-xn12s005.txt	./txt/cord-027730-xn12s005.txt