@inproceedings{1ece4b1803054e80b52ca916b84f2aa3,
title = "Quantitative Comparison of White Matter Segmentation for Brain MR Images",
abstract = "The volume of white matter in brain MR image is important for medical diagnosis, therefore, it is critical to obtain an accurate segmentation of the white matter. We compare quantitatively the up-to-date versions of three software packages: SPM, FSL, and FreeSurfer, for brain MR image segmentation, and then select the package that performs the best for white matter segmentation. Dice index (DSC), Hausdorff distance (HD), and modified Hausdorff distance (MHD) are chosen as the metrics for comparison. A new computational method is also proposed to calculate HD and MHD efficiently.",
keywords = "Brain MRI, Dice index, FLS, FreeSurfer, Hausdorff distance, Image segmentation, SPM, White matter",
author = "Xianping Li and Jorgue Martinez",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Computer Vision Conference, CVC 2019 ; Conference date: 25-04-2019 Through 26-04-2019",
year = "2020",
doi = "10.1007/978-3-030-17795-9_46",
language = "English (US)",
isbn = "9783030177942",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "639--647",
editor = "Supriya Kapoor and Kohei Arai",
booktitle = "Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC",
}