Pinned Repositories
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.
simple-website-fetching-data-from-mongodb
Candidate Portal: Retrieving data from mongodb to website
shraddha-sanil's Repositories
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.
shraddha-sanil/simple-website-fetching-data-from-mongodb
Candidate Portal: Retrieving data from mongodb to website