Detection of lesions in the optic nerve with magnetic resonance imaging using a 3D convolutional neural network.

ABSTRACT:

Background

Optic neuritis (ON) is one of the first manifestations of multiple sclerosis, a disabling disease with rising prevalence. Detecting optic nerve lesions could be a relevant diagnostic marker in patients with multiple sclerosis.

Objectives

We aim to create an automated, interpretable method for optic nerve lesion detection from MRI scans.

Materials and methods

We present a 3D convolutional neural network (CNN) model that learns to detect optic nerve lesions based on T2-weighted fat-saturated MRI scans. We validated our system on two different datasets (N = 107 and 62) and interpreted the behaviour of the model using saliency maps.

Results

The model showed good performance (68.11% balanced accuracy) that generalizes to unseen data (64.11%). The develope

SUBMITTER: Marti-Juan G 

PROVIDER: S-EPMC9486565 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature