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...

Full description

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

Similar Items

Similar Items