Highlights
We present a method for multiple sclerosis lesion detection and segmentation.
The method (ico
brain ms
5.1) combines unsupervised and supervised learning techniques.
We highlight the importance of training and validation on a highly diverse dataset.
Unsupervised method ico
brain ms
5.0 was used as a baseline to evaluate performance.
The detection of infratentorial and juxtacortical lesions improves by 14% and 31%.
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