Deep Learning on Conventional Magnetic Resonance Imaging Improves the Diagnosis of Multiple Sclerosis Mimics

Academic Article
Publication Date:
2021
Short description:
Deep Learning on Conventional Magnetic Resonance Imaging Improves the Diagnosis of Multiple Sclerosis Mimics / Rocca, M.A., Anzalone, N., Storelli, L., Del Poggio, A., Cacciaguerra, L., Manfredi, A.A., Meani, A., Filippi, M.. - In: INVESTIGATIVE RADIOLOGY. - ISSN 0020-9996. - 56:4(2021), pp. 252-260. [10.1097/RLI.0000000000000735]
abstract:
The aims of this study were to present a deep learning approach for the automated classification of multiple sclerosis and its mimics and compare model performance with that of 2 expert neuroradiologists.
Iris type:
1.1 Articolo in rivista
List of contributors:
Authors of the University:
Handle:
https://iris.unisr.it/handle/20.500.11768/105643
Published in:
INVESTIGATIVE RADIOLOGY
Journal