https://github.com/0rc0/whitematterhyperintensities
Machine learning white matter hyperintensities automatic segmentation.
Science Score: 13.0%
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Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Machine learning white matter hyperintensities automatic segmentation.
Basic Info
- Host: GitHub
- Owner: 0rC0
- License: gpl-3.0
- Language: Python
- Default Branch: master
- Size: 471 KB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 7 years ago
· Last pushed over 5 years ago
https://github.com/0rC0/WhiteMatterHyperintensities/blob/master/
_**Modified Copy**_ of the pipeline from: Dadar, Mahsa & Maranzano, Josefina & Misquitta, Karen & Anor, Cassandra & Fonov, Vladimir & Tartaglia, Maria & Carmichael, Owen & Decarli, Charles & Collins, Louis. (2017). Performance Comparison of 10 Different Classification Techniques in Segmenting White Matter Hyperintensities in Aging. NeuroImage. 157. 10.1016/j.neuroimage.2017.06.009. Original pipeline: https://www.dropbox.com/sh/zbbqjjo1ilzuun2/AABWN17N2fyzi8p3aSfiA0fEa?dl=0 Original license (3-Clause BSD License): https://www.dropbox.com/sh/zbbqjjo1ilzuun2/AABWN17N2fyzi8p3aSfiA0fEa?dl=0&preview=copyright.txt ### Requirements * minc-toolkit-v2 (https://github.com/BIC-MNI/minc-toolkit-v2) * scikit-learn <= 0.21 * pyezminc (https://github.com/BIC-MNI/pyezminc) * export LD_LIBRARY_PATH="/opt/minc/1.0.09/lib":$LD_LIBRARY_PATH
Owner
- Name: Andrea Dell'Orco
- Login: 0rC0
- Kind: user
- Location: Berlin
- Repositories: 55
- Profile: https://github.com/0rC0
Sharing code for neuroimaging research. Credits for profile picture: @lastknight"