A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends

KB Khan, AA Khaliq, A Jalil, MA Iftikhar, N Ullah… - Pattern Analysis and …, 2019 - Springer
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …

Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research

P Porwal, S Pachade, R Kamble, M Kokare… - Data, 2018 - mdpi.com
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 …

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

B Qian, H Chen, X Wang, Z Guan, T Li, Y **, Y Wu… - Patterns, 2024 - cell.com
We described a challenge named" DRAC-Diabetic Retinopathy Analysis Challenge" in
conjunction with the 25th International Conference on Medical Image Computing and …

Idrid: Diabetic retinopathy–segmentation and grading challenge

P Porwal, S Pachade, M Kokare, G Deshmukh… - Medical image …, 2020 - Elsevier
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
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

TA Soomro, J Gao, T Khan, AFM Hani… - Pattern Analysis and …, 2017 - Springer
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 …

Dense dilated network with probability regularized walk for vessel detection

L Mou, L Chen, J Cheng, Z Gu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

Deep supervision with additional labels for retinal vessel segmentation task

Y Zhang, ACS Chung - Medical Image Computing and Computer Assisted …, 2018 - Springer
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 …

[HTML][HTML] Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: a dataset of frequently and rarely identified diseases

S Panchal, A Naik, M Kokare, S Pachade… - Data, 2023 - mdpi.com
Irreversible vision loss is a worldwide threat. Develo** a computer-aided diagnosis
system to detect retinal fundus diseases is extremely useful and serviceable to …

[HTML][HTML] Validating retinal fundus image analysis algorithms: issues and a proposal

E Trucco, A Ruggeri, T Karnowski… - … & visual science, 2013 - jov.arvojournals.org
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 …

Domain-invariant interpretable fundus image quality assessment

Y Shen, B Sheng, R Fang, H Li, L Dai, S Stolte… - Medical image …, 2020 - Elsevier
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 …