Intracranial Hemorrhage Classification From CT Scan Using Deep Learning and Bayesian Optimization

Intracranial Hemorrhage Classification From CT Scan Using Deep Learning and Bayesian Optimization

Intracranial hemorrhage is a medical condition characterized by bleeding within the skull or brain tissue. It has mainly five subtypes: epidural, subdural, subarachnoid, intraparenchymal, and intraventricular. To ensure a successful outcome for a patient, timely and accurate identification of intrac...

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Bibliographic Details
Main Authors: Shifat E. Arman, Sayed Saminur Rahman, Niloy Irtisam, Shamim Ahmed Deowan, Md. Ariful Islam, Saadman Sakib, Mehedi Hasan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bayesian optimization
CT scan
deep learning
intracranial hemorrhage
medical image analysis
radiology
Online Access:https://ieeexplore.ieee.org/document/10198438/

Internet

https://ieeexplore.ieee.org/document/10198438/

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