Back to search

Article

Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI

2022-03-03

Abstract excerpt

Manually segmenting multiple sclerosis (MS) cortical lesions (CL) is extremely time-consuming, and past studies have shown only moderate inter-rater reliability. To accelerate this task, we developed a deep learning-based framework (CLAIMS: Cortical Lesion Artificial Intelligence-based assessment in Multiple Sclerosis) for the automated detection and classification of MS CL with 7T MRI. Two 7T datasets, acquired a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8aae9bf3-3223-54c8-a027-181e53043ff0
DOI
10.1101/2022.03.02.22271269
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRIDOI 10.1101/2022.03.02.22271269
Select a neighboring publication to make it the new centre.