Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach
Longitudinal magnetic resonance imaging (MRI) has an important role in multiple sclerosis (MS) diagnosis and follow-up. Specifically, the presence of new lesions on brain MRI scans is considered a robust predictive biomarker for the disease progression. New lesions are a high-impact prognostic facto...
Main Authors: | Mostafa Salem, Marwa Ahmed Ryan, Arnau Oliver, Khaled Fathy Hussain, Xavier Lladó |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-11-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.1007619/full |
Similar Items
-
The added value of double inversion recovery (DIR) sequence compared to fluid attenuation inversion recovery (FLAIR) in identifying multiple sclerosis lesions and different cortical subtypes
by: Mohamed Mohamed Anwar Mohamed, et al.
Published: (2023-12-01) -
Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients
by: Marcela de Oliveira, et al.
Published: (2022-01-01) -
Typical MRI lesions of multiple sclerosis in the brain and spinal cord (ORP-13)
by: Zahra Hamed
Published: (2023-01-01) -
White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis
by: Mohammed Y. Ezzeldin, et al.
Published: (2024-04-01) -
Balo's Concentric Sclerosis with Acute Presentation and Co-Existing Multiple Sclerosis-Typical Lesions on MRI
by: Bela Purohit, et al.
Published: (2015-02-01)