Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning.

Jason UwaezePonnada A NarayanaArash KamaliVladimir BravermanMichael A Jacobs Alireza Akhbardeh

Published in: Diagnostics (Basel, Switzerland) (2024)

NLDR methods, Isomap and LLE, are viable options for the identification of active MS lesions on non-contrast images, and potentially could be used as a clinical decision tool.

Keyphrases

machine learning
multiple sclerosis
deep learning
artificial intelligence
big data
magnetic resonance
mass spectrometry
convolutional neural network
white matter
ms ms
optical coherence tomography