Artificial Intelligence for multiple sclerosis management using retinal images: pearl, peaks, and pitfalls
Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory
processes, demyelination, neurodegeneration, and axonal damage within the central …
processes, demyelination, neurodegeneration, and axonal damage within the central …
[HTML][HTML] Clinical applications of deep learning in neuroinflammatory diseases: A scoping review
S Demuth, J Paris, I Faddeenkov, J De Sèze… - Revue …, 2024 - Elsevier
Background Deep learning (DL) is an artificial intelligence technology that has aroused
much excitement for predictive medicine due to its ability to process raw data modalities …
much excitement for predictive medicine due to its ability to process raw data modalities …
Comprehensive Evaluation of Artificial Intelligence Models for Diagnosis of Multiple Sclerosis Using Information from Retinal Layers Multicenter OCT Images
Multiple sclerosis (MS) is a chronic inflammatory disease that affects the central nervous
system. Optical coherence tomography (OCT) is a retinal imaging technology with great …
system. Optical coherence tomography (OCT) is a retinal imaging technology with great …
[HTML][HTML] Discrimination of Multiple Sclerosis using Scanning Laser Ophthalmoscopy Images with Autoencoder-Based Feature Extraction
Objective Optical coherence tomography (OCT) investigations have revealed that the
thickness of inner retinal layers becomes decreased in multiple sclerosis (MS) patients …
thickness of inner retinal layers becomes decreased in multiple sclerosis (MS) patients …
[HTML][HTML] SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy …
R Arian, A Aghababaei, A Soltanipour… - … vision science & …, 2024 - iovs.arvojournals.org
Purpose: Several machine learning studies have used optical coherence tomography (OCT)
for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance …
for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance …
SLO-MSNet: Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction
R Arian, A Aghababaei, A Soltanipour, SB Iyer… - medRxiv, 2023 - medrxiv.org
Background Optical coherence tomography (OCT) studies have revealed that compared to
healthy control (HC) individuals, retinal nerve fiber, ganglionic cell, and inner plexiform …
healthy control (HC) individuals, retinal nerve fiber, ganglionic cell, and inner plexiform …
Evaluation of machine learning algorithms and relevant biomarkers for the diagnosis of multiple sclerosis based on optical coherence tomography
P García Mesa, P Rojas Lozano, N Díaz Gutiérrez… - 2023 - repositorio.upct.es
Multiple sclerosis (MS) is a prevalent neurodegener-ative disease with significant visual
pathway-related symptoms. Optical coherence tomography (OCT) has emerged as a …
pathway-related symptoms. Optical coherence tomography (OCT) has emerged as a …
[PDF][PDF] Evaluation of machine learning algorithms and relevant biomarkers for the diagnosis of multiple sclerosis based on optical coherence tomography
PG Mesa, PR Lozano, ND Gutiérrez, MC Santoyo… - die.upm.es
Multiple sclerosis (MS) is a prevalent neurodegenerative disease with significant visual
pathway-related symptoms. Optical coherence tomography (OCT) has emerged as a …
pathway-related symptoms. Optical coherence tomography (OCT) has emerged as a …