optic-disc-segmentation

There are 0 repository under optic-disc-segmentation topic.

TheBeastCoding / glaucoma-dataset-metadata
Actively maintained and comprehensive public glaucoma dataset catalog
dataset dataset-catalog deep-learning glaucoma glaucoma-detection machine-learning fundus glaucoma-diagnosis oct optic-cup-disc-segmentation optic-disc-segmentation
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shraddha-sanil / diabetic-retinopathy-detection-methodological-framework
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. Both clinical and non-clinical features are extracted and fed to SVM classifier.
image-processing diabetic-retinopathy-detection diabetic-retinopathy image-preprocessing clahe segmentation blood-vessels-extraction blood-vessel-segmentation optic-disc-segmentation feature-extraction glcm classification svm svm-classifier svm-linear otsu-thresholding circular-hough-transform matlab python
Language:Jupyter Notebook 4

TheBeastCoding / glaucoma-dataset-metadata