Retinal vessel segmentation using deep learning: a review
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 learning. The geometric characteristics of retinal vessels reflect the health status of …
Deep semi-supervised learning for medical image segmentation: A review
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 …
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 …
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
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 …
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
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 …
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 …
status. Retinal vessel segmentation, an important basis for the quantitative analysis of …
A comprehensive survey on segmentation techniques for retinal vessel segmentation
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 …
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 …
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
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 …
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 …
retinopathy (DR). The images captured using a fundus camera are used to segment and …