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April 9, 2024Neurology

Automatic Multiple Sclerosis Lesion Tracking Using Unsupervised Machine Learning (P11-6.013)

Alireza Ahkbardeh Ponnada A. Narayana Vladimir Braverman Michael A. Jacobs Jason Uwaeze John A. Lincoln

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Abstract

We used locally linear embedding (LLE) and isometric mapping (Isomap), two Non-Linear Dimensionality Reduction (NLDR) methods, to automatically identify and track enhancing brain lesions on post-contrast MRI in MS.

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Cite This Study

Ahkbardeh et al. (2024) studied this question.

synapsesocial.com/papers/68e6fdb8b6db6435876782f7 https://doi.org/10.1212/wnl.0000000000205776

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