A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis

Conventional MR imaging explains only a fraction of the clinical outcome variance in multiple sclerosis. We aimed to evaluate machine learning models for disability prediction on the basis of radiomic, volumetric, and connectivity features derived from routine brain MR images.BACKGROUND AND PURPOSEC...

Full description

Bibliographic Details

Published in:	American journal of neuroradiology : AJNR Vol. 42; no. 11; p. 1927
Main Authors:	Pontillo, G, Tommasin, S, Cuocolo, R, Petracca, M, Petsas, N, Ugga, L, Carotenuto, A, Pozzilli, C, Iodice, R, Lanzillo, R, Quarantelli, M, Brescia Morra, V, Tedeschi, E, Pantano, P, Cocozza, S
Format:	Journal Article
Language:	English
Published:	01.11.2021
ISSN:	1936-959X, 1936-959X
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!