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.
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]
Application of deep-learning to the seronegative side of the NMO spectrum
Cacciaguerra, Laura;Filippi, Massimo;Rocca, Maria A
2022-01-01
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.File in questo prodotto:
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