Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm

Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm

IntroductionIntracranial hemorrhage detection in 3D Computed Tomography (CT) brain images has gained more attention in the research community. The major issue to deal with the 3D CT brain images is scarce and hard to obtain the labelled data with better recognition results.MethodsTo overcome the afo...

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Bibliographic Details
Main Authors: Jewel Sengupta, Robertas Alzbutas, Przemysław Falkowski-Gilski, Bożena Falkowska-Gilska
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroscience
Subjects:
bi-directional long short-term memory network
computed tomography
genetic algorithm
gradient local ternary pattern
intracranial hemorrhage detection
Tamura features
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1200630/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1200630/full

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