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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Bibliographic Details

Published in:	Diagnostics
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
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