Automated detection of hemorrhage and infarction on diffusion-weighted mri: comparative performance of yolov8, faster r-cnn, and radiologists
Background: Rapid differentiation between ischemic and hemorrhagic stroke is critical for timely treatment, yet diffusion-weighted imaging (DWI) alone poses diagnostic challenges for hemorrhage detection. Artificial intelligence (AI) offers potential to improve radiologist interpretation, but co...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/124440/2/124440_Automated%20detection%20of%20Hemorrhage.pdf http://irep.iium.edu.my/124440/ |
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