Back to search

Article

BISON: Brain tISue segmentatiON pipeline using T1-weighted magnetic resonance images and a random forests classifier

2019-08-28

Abstract excerpt

<h4>Introduction</h4> Accurate differentiation of brain tissue types from T1-weighted magnetic resonance images (MRIs) is a critical requirement in many neuroscience and clinical applications. Accurate automated tissue segmentation is challenging due to the variabilities in the tissue intensity profiles caused by differences in scanner models and acquisition protocols, in addition to the varying age of the subjec...

Topics

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

Identifiers and source

Literature Corpus work
309f1264-ef1c-5cda-b5f6-0b07053adb24
DOI
10.1101/747998
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.
BISON: Brain tISue segmentatiON pipeline using T1-weighted magnetic resonance images and a random forests classifierDOI 10.1101/747998
Select a neighboring publication to make it the new centre.