Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection

Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection

<b>Objectives</b>: Subarachnoid Hemorrhage (SAH) is a serious neurological emergency case with a higher mortality rate. An automatic SAH detection is needed to expedite and improve identification, aiding timely and efficient treatment pathways. The existence of noisy and dissimilar anato...

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Main Authors: Jewel Sengupta, Robertas Alzbutas, Tomas Iešmantas, Vytautas Petkus, Alina Barkauskienė, Vytenis Ratkūnas, Saulius Lukoševičius, Aidanas Preikšaitis, Indre Lapinskienė, Mindaugas Šerpytis, Edgaras Misiulis, Gediminas Skarbalius, Robertas Navakas, Algis Džiugys
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Diagnostics
Subjects:
feature selection
parametric rectified linear unit
region-growing method
sand cat swarm optimization algorithm
stacked convolutional neural network
subarachnoid hemorrhage detection
Online Access:https://www.mdpi.com/2075-4418/14/21/2417
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