Article

SLO-MSNet: Discrimination of Multiple Sclerosis using Scanning Laser Ophthalmoscopy Images with Autoencoder-Based Feature Extraction

2023-09-04

Abstract excerpt

<h4>Background</h4> Optical coherence tomography (OCT) studies have revealed that compared to healthy control (HC) individuals, retinal nerve fiber, ganglionic cell, and inner plexiform layers become thinner in multiple sclerosis (MS) patients. To date, a number of machine learning (ML) studies have utilized Optical coherence tomography (OCT) data for classifying MS, leading to encouraging results. Scanning laser...

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Literature Corpus work: a15a2760-fd8e-58f5-bdec-4c4c02e8c245
DOI: 10.1101/2023.09.03.23294985

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