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...
| Main Authors: | Mohd Saad, N., M. Noor, N. S., Abdullah, A. R., Muda, Ahmad Sobri, Muda, A. F., Abdul Rahman, N. N. S. |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/60977/ http://psasir.upm.edu.my/id/eprint/60977/1/Automated%20stroke%20lesion%20detection%20and%20diagnosis%20system.pdf |
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