Automated stroke lesion detection and diagnosis system
This study proposes a technique for automated detection and diagnosis of stroke lesions based on diffusion-weighted imaging (DWI). The technique consists of several stages which are pre-processing, segmentation, feature extraction, and classification. The proposed analytical framework of th...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60977/1/Automated%20stroke%20lesion%20detection%20and%20diagnosis%20system.pdf http://psasir.upm.edu.my/id/eprint/60977/ |
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