Improvements on the Gray Level Co-occurrence Matrix Technique to Compute Ischemic Stroke Volume
نویسندگان
چکیده
The purpose of this work was to apply and test Haralick’s gray level co-occurrence matrix (GLCM) technique for automatic calculation and segmentation of the ischemic stroke volume from CT images. For this task, the 3nearest neighbors classifier was trained to perform stroke and non-stroke area classification. The segmentation and classification results were compared versus a manual segmentation. Approximately half of the automatically computed and segmented stroke volumes from CT images differed less than 15 % from the corresponding manually segmented stroke volumes.
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Ischemic Stroke Segmentation on CT Images Using Joint Features
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