Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

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Intracranial hemorrhaging is considered a type of disease that affects the brain and is very dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT images are one of the most important methods of diagnosing intracranial hemorrhages. CT images contain huge amount...

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Bibliographic Details
Main Authors: Mohammed, Badiea Abdulkarem, Senan, Ebrahim Mohammed, Al-Mekhlafi, Zeyad Ghaleb, Rassem, Taha Hussein, Makbol, Nasrin M., Alanazi, Adwan Alownie, Almurayziq, Tariq S., Ghaleb, Fuad A., Sallam, Amer A.
Format: Article
Language:English
Published: MDPI 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40155/1/Multi-method%20diagnosis%20of%20CT%20Images%20for%20rapid%20detection%20of%20intracranial.pdf

Internet

http://umpir.ump.edu.my/id/eprint/40155/1/Multi-method%20diagnosis%20of%20CT%20Images%20for%20rapid%20detection%20of%20intracranial.pdf

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