Back to search

Article

ANN Training Using Granulometric Data from Preprocessed MRI with Morphological Transformations to Detect Multiple Sclerosis Lesions

2024-07-24

Abstract excerpt

The symptoms of multiple sclerosis (MS) are determined by the location of demyelinating lesions in the white matter of the brain and spinal cord. Currently, magnetic resonance imaging (MRI) is the most common tool for diagnosing MS, understanding the course of the disease, and analyzing the effects of treatments. However, undesirable components may appear during the generation of MRI, such as noise or intensity va...

Topics

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

Identifiers and source

Literature Corpus work
a58bbbf2-d101-51c5-a982-e23e4c924cb4
DOI
10.20944/preprints202407.1908.v1
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.
ANN Training Using Granulometric Data from Preprocessed MRI with Morphological Transformations to Detect Multiple Sclerosis LesionsDOI 10.20944/preprints202407.1908.v1
Select a neighboring publication to make it the new centre.