Editorial: Automatic methods for multiple sclerosis new lesions detection and segmentation

Olivier Commowick; Benoît Combès; Frédéric Cervenansky; Michel Dojat

doi:10.3389/fnins.2023.1176625

Editorial: Automatic methods for multiple sclerosis new lesions detection and segmentation

Front Neurosci. 2023 Mar 14:17:1176625. doi: 10.3389/fnins.2023.1176625. eCollection 2023.

Authors

Olivier Commowick¹, Benoît Combès¹, Frédéric Cervenansky², Michel Dojat³

Affiliations

¹ Empenn INSERM U1228, CNRS UMR6074, Inria, University of Rennes I, Rennes, France.
² Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France.
³ Univ Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, GIN, Grenoble, France.

No abstract available

Keywords: MRI; deep learning; image processing; neurodegenerative diseases; neurology - clinical.

Publication types

Editorial

Grants and funding

This work was partly funded by France Life Imaging (grant ANR-11-INBS-0006 from the French Investissements d'Avenir program). It has also been partly supported by a grant (OFSEP) provided by the French State and handled by the Agence Nationale de la Recherche, within the framework of the Investissements d'Avenir program, under the reference ANR-10-COHO-002.