Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Application of deep-learning to the seronegative side of the NMO spectrum

Academic Article
Publication Date:
2022
Short description:
Application of deep-learning to the seronegative side of the NMO spectrum / Cacciaguerra, L., Storelli, L., Radaelli, M., Mesaros, S., Moiola, L., Drulovic, J., Filippi, M., Rocca, M.A.. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 269:(2022), pp. 1546-1556. [10.1007/s00415-021-10727-y]
abstract:
To apply a deep-learning algorithm to brain MRIs of seronegative patients with neuromyelitis optica spectrum disorders (NMOSD) and NMOSD-like manifestations and assess whether their structural features are similar to aquaporin-4-seropositive NMOSD or multiple sclerosis (MS) patients.
Iris type:
1.1 Articolo in rivista
Keywords:
Artificial intelligence; Idiopathic; MRI; Multiple sclerosis; Neuromyelitis optica spectrum disorders; Seronegative
List of contributors:
Cacciaguerra, Laura; Storelli, Loredana; Radaelli, Marta; Mesaros, Sarlota; Moiola, Lucia; Drulovic, Jelena; Filippi, Massimo; Rocca, Maria A
Authors of the University:
FILIPPI MASSIMO
ROCCA MARIA ASSUNTA
Handle:
https://iris.unisr.it/handle/20.500.11768/118115
Published in:
JOURNAL OF NEUROLOGY
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.7.2.0