Intracranial Haemorrhage Diagnosis Using Willow Catkin Optimization With Voting Ensemble Deep Learning on CT Brain Imaging

Intracranial Haemorrhage Diagnosis Using Willow Catkin Optimization With Voting Ensemble Deep Learning on CT Brain Imaging

Intracranial haemorrhage (ICH) has become a critical healthcare emergency that needs accurate assessment and earlier diagnosis. Due to the high rates of mortality (about 40%), the early classification and detection of diseases through computed tomography (CT) images were needed to guarant...

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Bibliographic Details
Main Authors: Noha Negm, Ghadah Aldehim, Faisal Mohammed Nafie, Radwa Marzouk, Mohammed Assiri, Mohamed Ibrahim Alsaid, Suhanda Drar, Sitelbanat Abdelbagi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Brain imaging
intracranial haemorrhage
deep learning
computer vision
ensemble learning
willow catkin optimization
Online Access:https://ieeexplore.ieee.org/document/10188680/

Internet

https://ieeexplore.ieee.org/document/10188680/

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