Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis

Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis

Neuromyelitis optica (NMO) exhibits substantial similarities to multiple sclerosis (MS) in clinical manifestations and imaging results and has long been considered a variant of MS. With the advent of a specific biomarker in NMO, known as anti-aquaporin 4, this assumption has changed; however, the di...

Full description

Bibliographic Details
Main Authors: Arman Eshaghi, Sadjad Riyahi-Alam, Roghayyeh Saeedi, Tina Roostaei, Arash Nazeri, Aida Aghsaei, Rozita Doosti, Habib Ganjgahi, Benedetta Bodini, Ali Shakourirad, Manijeh Pakravan, Hossein Ghana'ati, Kavous Firouznia, Mojtaba Zarei, Amir Reza Azimi, Mohammad Ali Sahraian
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:NeuroImage: Clinical
Subjects:
Multiple sclerosis
Neuromyelitis optica
Differential diagnosis
Computational diagnosis
Multi-modal imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158215000029

Similar Items

Similar Items