Blood vessel segmentation methodologies in retinal images–a survey
Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …
disease screening systems. This work examines the blood vessel segmentation …
Computer-aided diagnosis of diabetic retinopathy: A review
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images
For the clinical diagnosis, it is essential to obtain accurate morphology data of retinal blood
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Objective: Deep learning based methods for retinal vessel segmentation are usually trained
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
A three-stage deep learning model for accurate retinal vessel segmentation
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related
diseases, in which both thick vessels and thin vessels are important features for symptom …
diseases, in which both thick vessels and thin vessels are important features for symptom …
Deep retinal image understanding
Abstract This paper presents Deep Retinal Image Understanding (DRIU), a unified
framework of retinal image analysis that provides both retinal vessel and optic disc …
framework of retinal image analysis that provides both retinal vessel and optic disc …
Towards accurate segmentation of retinal vessels and the optic disc in fundoscopic images with generative adversarial networks
Automatic segmentation of the retinal vasculature and the optic disc is a crucial task for
accurate geometric analysis and reliable automated diagnosis. In recent years …
accurate geometric analysis and reliable automated diagnosis. In recent years …
Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores
This paper presents a robust and fully automatic filter-based approach for retinal vessel
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
Robust vessel segmentation in fundus images
One of the most common modalities to examine the human eye is the eye‐fundus
photograph. The evaluation of fundus photographs is carried out by medical experts during …
photograph. The evaluation of fundus photographs is carried out by medical experts during …
Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images
Automated detection of blood vessel structures is becoming of crucial interest for better
management of vascular disease. In this paper, we propose a new infinite active contour …
management of vascular disease. In this paper, we propose a new infinite active contour …