Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies

Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies

IntroductionThe automatic segmentation of brain parenchyma and cerebrospinal fluid-filled spaces such as the ventricular system is the first step for quantitative and qualitative analysis of brain CT data. For clinical practice and especially for diagnostics, it is crucial that such a method is robu...

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Bibliographic Details
Main Authors: Annika Gerken, Sina Walluscheck, Peter Kohlmann, Ivana Galinovic, Kersten Villringer, Jochen B. Fiebach, Jan Klein, Stefan Heldmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Neuroimaging
Subjects:
deep learning
segmentation
hemorrhage
parenchyma
ventricular system
Online Access:https://www.frontiersin.org/articles/10.3389/fnimg.2023.1228255/full

Internet

https://www.frontiersin.org/articles/10.3389/fnimg.2023.1228255/full

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