Deep learning models for retinal blood vessels segmentation: a review
This paper presents a comprehensive review of the principle and application of deep
learning in retinal image analysis. Many eye diseases often lead to blindness in the absence …
learning in retinal image analysis. Many eye diseases often lead to blindness in the absence …
Comparative analysis of vessel segmentation techniques in retinal images
The blood vessels are the primary anatomical structure that can be visible in retinal images.
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
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 …
Deepvessel: Retinal vessel segmentation via deep learning and conditional random field
Retinal vessel segmentation is a fundamental step for various ocular imaging applications.
In this paper, we formulate the retinal vessel segmentation problem as a boundary detection …
In this paper, we formulate the retinal vessel segmentation problem as a boundary detection …
Deep learning of the retina enables phenome-and genome-wide analyses of the microvasculature
Background: The microvasculature, the smallest blood vessels in the body, has key roles in
maintenance of organ health and tumorigenesis. The retinal fundus is a window for human …
maintenance of organ health and tumorigenesis. The retinal fundus is a window for human …
A discriminatively trained fully connected conditional random field model for blood vessel segmentation in fundus images
JI Orlando, E Prokofyeva… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Goal: In this work, we present an extensive description and evaluation of our method for
blood vessel segmentation in fundus images based on a discriminatively trained fully …
blood vessel segmentation in fundus images based on a discriminatively trained fully …
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 …
Retinal vessel segmentation based on fully convolutional neural networks
The retinal vascular condition is a reliable biomarker of several ophthalmologic and
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
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 …
Retinal vessel segmentation via deep learning network and fully-connected conditional random fields
Vessel segmentation is a key step for various medical applications. This paper introduces
the deep learning architecture to improve the performance of retinal vessel segmentation …
the deep learning architecture to improve the performance of retinal vessel segmentation …