This dataset contains high resolution images of blood vessels extracted from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). It contains 110 blood vessels of individuals of which 23.1% are patients with chronic glaucoma while the remaining 76.9% are hypertensive retinopathy patients
This master´s thesis deals with blood vessel segmentation in retinal image data. The theoretical par...
The retinal vasculature is the only part of the blood circulation system that can be observed non-in...
The prevalence of diabetes is expected to increase dramatically in coming years; already today it ac...
This dataset contains high resolution images of blood vessels extracted from Digital Retinal Images...
This dataset contains 110 blood vessels extracted from Digital Retinal Images for Optic Nerve Segmen...
This dataset contains 89 high resolution image files of blood vessels extracted from publicly availa...
We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Arme...
This dataset contains blood vessels image files extracted from publicly available fundus retina imag...
This dataset contains 50 retinal blood vessels extracted from retinal images available in Diabetic R...
Retinal fundus imaging is a non-invasive method that allows visualizing the structure of the blood v...
Digital image analysis of eye fundus images has several benefits than current observer based techniq...
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...
This dataset includes all data needed to replicate the results in our manuscript published in PLOS O...
This paper presents a review of algorithms for extracting blood vessels network from retinal images....
Any acute damage that can cause visual impairment can be termed as retinopathy. The ocular manifesta...
This master´s thesis deals with blood vessel segmentation in retinal image data. The theoretical par...
The retinal vasculature is the only part of the blood circulation system that can be observed non-in...
The prevalence of diabetes is expected to increase dramatically in coming years; already today it ac...
This dataset contains high resolution images of blood vessels extracted from Digital Retinal Images...
This dataset contains 110 blood vessels extracted from Digital Retinal Images for Optic Nerve Segmen...
This dataset contains 89 high resolution image files of blood vessels extracted from publicly availa...
We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Arme...
This dataset contains blood vessels image files extracted from publicly available fundus retina imag...
This dataset contains 50 retinal blood vessels extracted from retinal images available in Diabetic R...
Retinal fundus imaging is a non-invasive method that allows visualizing the structure of the blood v...
Digital image analysis of eye fundus images has several benefits than current observer based techniq...
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...
This dataset includes all data needed to replicate the results in our manuscript published in PLOS O...
This paper presents a review of algorithms for extracting blood vessels network from retinal images....
Any acute damage that can cause visual impairment can be termed as retinopathy. The ocular manifesta...
This master´s thesis deals with blood vessel segmentation in retinal image data. The theoretical par...
The retinal vasculature is the only part of the blood circulation system that can be observed non-in...
The prevalence of diabetes is expected to increase dramatically in coming years; already today it ac...