Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks.

Magnetic resonance (MR) imaging is the most sensitive clinical tool in the diagnosis and monitoring of multiple sclerosis (MS) alterations. Spinal cord evaluation has gained interest in this clinical scenario in recent years, but, unlike the brain, there is a more limited choice of algorithms to ass...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 35; no. 5; pp. 1131 - 1143
Main Authors:	Bueno, América, Bosch, Ignacio, Rodríguez, Alejandro, Jiménez, Ana, Carreres, Joan, Fernández, Matías, Marti-Bonmati, Luis, Alberich-Bayarri, Angel
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Oct2022
Online Access:	View this record in EBSCOhost