Retinal vessel segmentation using deep learning: a review

C Chen, JH Chuah, R Ali, Y Wang - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …

Deep semi-supervised learning for medical image segmentation: A review

K Han, VS Sheng, Y Song, Y Liu, C Qiu, S Ma… - Expert Systems with …, 2024 - Elsevier
Deep learning has recently demonstrated considerable promise for a variety of computer
vision tasks. However, in many practical applications, large-scale labeled datasets are not …

A survey of deep learning for retinal blood vessel segmentation methods: taxonomy, trends, challenges and future directions

OO Sule - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advancements in deep learning architectures have extended their application to
computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal …

A systematic review on diabetic retinopathy detection using deep learning techniques

R Vij, S Arora - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

RVD: a handheld device-based fundus video dataset for retinal vessel segmentation

MDW Khan, H Sheng, H Zhang, H Du… - Advances in …, 2023 - proceedings.neurips.cc
Retinal vessel segmentation is generally grounded in image-based datasets collected with
bench-top devices. The static images naturally lose the dynamic characteristics of retina …

Deep matched filtering for retinal vessel segmentation

Y Tan, KF Yang, SX Zhao, J Wang, L Liu… - Knowledge-Based Systems, 2024 - Elsevier
The structure of the retinal vascular tree can reflect many indicators of ophthalmic health
status. Retinal vessel segmentation, an important basis for the quantitative analysis of …

A comprehensive survey on segmentation techniques for retinal vessel segmentation

J Cervantes, J Cervantes, F García-Lamont… - Neurocomputing, 2023 - Elsevier
In recent years, enormous research has been carried out on the segmentation of blood
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …

[HTML][HTML] Accuracy of using generative adversarial networks for glaucoma detection: systematic review and bibliometric analysis

AQ Saeed, SNH Sheikh Abdullah… - Journal of medical …, 2021 - jmir.org
Background Glaucoma leads to irreversible blindness. Globally, it is the second most
common retinal disease that leads to blindness, slightly less common than cataracts …

A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection

R Vij, S Arora - Computers and Electrical Engineering, 2024 - Elsevier
Segmentation of retinal blood vessels in fundus images is critical for early detection and
treatment of diabetic retinopathy (DR). Due to the complex distribution of blood vessels …

Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey

K Radha, Y Karuna - International Journal of Imaging Systems …, 2024 - Wiley Online Library
Diabetes can cause damage to the retina's blood vessels in the eye leading to diabetic
retinopathy (DR). The images captured using a fundus camera are used to segment and …