Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans

Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans

Intracranial hemorrhage (ICH) is a common finding in traumatic brain injury (TBI) and computed tomography (CT) is considered the gold standard for diagnosis. Automated detection of ICH provides clinical value in diagnostics and in the ability to feed robust quantification measures into future predic...

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Bibliographic Details
Main Authors: Antoine Spahr, Jennifer Ståhle, Chunliang Wang, Magnus Kaijser
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroimaging
Subjects:
computer vision
transfer learning
ICH segmentation
traumatic brain injury
dataset
computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fnimg.2023.1157565/full

Internet

https://www.frontiersin.org/articles/10.3389/fnimg.2023.1157565/full

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