Development of a CAD system for stroke diagnosis using machine learning on DWI-MRI images
Stroke remains one of the leading causes of disability and mortality worldwide, necessitating timely and accurate diagnosis to improve treatment outcomes. This study presents a computer-aided diagnosis (CAD) system designed to detect and classify stroke lesions in magnetic resonance imaging (MRI),...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Accent Social and Welfare Society
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29556/2/00332220920251135222149.pdf http://eprints.utem.edu.my/id/eprint/29556/ https://accentsjournals.org/PaperDirectory/Journal/IJATEE/2025/8/5.pdf http://dx.doi.org/10.19101/IJATEE.2024.111102264 |
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