Back to search

Article

A deep learning framework for comprehensive segmentation of deep grey nuclei

2025-12-18

Abstract excerpt

<h4>Background</h4> Deep grey matter structures such as the thalamus and basal nuclei are implicated in numerous neurological disorders, yet accurate segmentation of these structures from standard T1-weighted MRI remains challenging due to poor intra-subcortical contrast, long preprocessing pipelines, and fragmented toolsets. <h4>Methods</h4> We introduce THOMASINA a deep learning pipeline for comprehensive subc...

Topics

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

Identifiers and source

Literature Corpus work
8e192eff-f58a-5589-8457-e4faa098a44f
DOI
10.64898/2025.12.16.25342423
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.
A deep learning framework for comprehensive segmentation of deep grey nucleiDOI 10.64898/2025.12.16.25342423
Select a neighboring publication to make it the new centre.