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A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research
Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly
affecting the working-age population in the world. Recent research has given a better …
affecting the working-age population in the world. Recent research has given a better …
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images
We described a challenge named" DRAC-Diabetic Retinopathy Analysis Challenge" in
conjunction with the 25th International Conference on Medical Image Computing and …
conjunction with the 25th International Conference on Medical Image Computing and …
Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey
Eye-related disease such as diabetic retinopathy (DR) is a medical ailment in which the
retina of the human eye is smashed because of damage to the tiny retinal blood vessels in …
retina of the human eye is smashed because of damage to the tiny retinal blood vessels in …
Dense dilated network with probability regularized walk for vessel detection
The detection of retinal vessel is of great importance in the diagnosis and treatment of many
ocular diseases. Many methods have been proposed for vessel detection. However, most of …
ocular diseases. Many methods have been proposed for vessel detection. However, most of …
Deep supervision with additional labels for retinal vessel segmentation task
Automatic analysis of retinal fundus images is of vital importance in diagnosis tasks of
retinopathy. Segmenting vessels accurately is a fundamental step in analysing retinal …
retinopathy. Segmenting vessels accurately is a fundamental step in analysing retinal …
[HTML][HTML] Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: a dataset of frequently and rarely identified diseases
Irreversible vision loss is a worldwide threat. Develo** a computer-aided diagnosis
system to detect retinal fundus diseases is extremely useful and serviceable to …
system to detect retinal fundus diseases is extremely useful and serviceable to …
[HTML][HTML] Validating retinal fundus image analysis algorithms: issues and a proposal
This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.
For reasons of space and consistency, we concentrate on the validation of algorithms …
For reasons of space and consistency, we concentrate on the validation of algorithms …
Domain-invariant interpretable fundus image quality assessment
Objective and quantitative assessment of fundus image quality is essential for the diagnosis
of retinal diseases. The major factors in fundus image quality assessment are image artifact …
of retinal diseases. The major factors in fundus image quality assessment are image artifact …