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blood-vessels-extraction

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shraddha-sanil / diabetic-retinopathy-detection-methodological-framework

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This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. …

python matlab svm image-processing feature-extraction classification segmentation svm-classifier glcm diabetic-retinopathy-detection image-preprocessing diabetic-retinopathy clahe svm-linear otsu-thresholding blood-vessels-extraction blood-vessel-segmentation optic-disc-segmentation circular-hough-transform
  • Updated Oct 2, 2020
  • Jupyter Notebook

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