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CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels

N. Sepahvand,Tal Hassner,D. Arnold,T. Arbel

2018 · DOI: 10.1007/978-3-030-11723-8_6
9 Citations

TLDR

A convolutional neural network framework for future MRI disease activity prediction in relapsing-remitting MS (RRMS) patients from multi-modal MR images at baseline is introduced and it is illustrated how the inclusion of T2w lesion labels at baseline can significantly improve prediction accuracy.