blood-vessels-extraction

There are 0 repository under blood-vessels-extraction topic.

• dheerajnbhat / Diabetic-Retinopathy-Detection

  Blood vessels and Exudates extraction for the detection of Diabetic Retinopathy

  diabetic-retinopathydiabetic-retinopathy-detectionblood-vesselsexudatesblood-vessels-extractionexudates-extractionfundus-imagesdiabetic-retinopathy-predictiondiabetic-prediction
  Language:Python 4

• 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.

  blood-vessel-segmentationblood-vessels-extractioncircular-hough-transformclaheclassificationdiabetic-retinopathydiabetic-retinopathy-detectionfeature-extractionglcmimage-preprocessingimage-processingmatlaboptic-disc-segmentationotsu-thresholdingpythonsegmentationsvmsvm-classifiersvm-linear
  Language:Jupyter Notebook 4