Retinal fundus image analysis for diagnosis of glaucoma: a comprehensive survey
The rapid development of digital imaging and computer vision has increased the potential of
using the image processing technologies in ophthalmology. Image processing systems are …
using the image processing technologies in ophthalmology. Image processing systems are …
Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model
ME Gegundez-Arias, D Marin-Santos… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: Automatic monitoring of retinal blood vessels proves
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
An automated early diabetic retinopathy detection through improved blood vessel and optic disc segmentation
This paper presents an automated early diabetic retinopathy detection scheme from color
fundus images through improved segmentation strategies for optic disc and blood vessels …
fundus images through improved segmentation strategies for optic disc and blood vessels …
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
Background and objective In modern ophthalmology, automated Computer-aided Screening
Tools (CSTs) are crucial non-intrusive diagnosis methods, where an accurate segmentation …
Tools (CSTs) are crucial non-intrusive diagnosis methods, where an accurate segmentation …
An adaptive threshold based image processing technique for improved glaucoma detection and classification
Glaucoma is an optic neuropathy which is one of the main causes of permanent blindness
worldwide. This paper presents an automatic image processing based method for detection …
worldwide. This paper presents an automatic image processing based method for detection …
Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review
NA Kako, AM Abdulazeez - Current Medical Imaging, 2022 - ingentaconnect.com
Information-based image processing and computer vision methods are utilized in several
healthcare organizations to diagnose diseases. The irregularities in the visual system are …
healthcare organizations to diagnose diseases. The irregularities in the visual system are …
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation
Glaucoma is an ocular disease threatening irreversible vision loss. Primary screening of
Glaucoma involves computation of optic cup (OC) to optic disc (OD) ratio that is widely …
Glaucoma involves computation of optic cup (OC) to optic disc (OD) ratio that is widely …
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models
In this research, we propose Particle Swarm Optimization (PSO)-enhanced ensemble deep
neural networks for optic disc (OD) segmentation using retinal images. An improved PSO …
neural networks for optic disc (OD) segmentation using retinal images. An improved PSO …
Optic disc boundary and vessel origin segmentation of fundus images
S Roychowdhury, DD Koozekanani… - IEEE journal of …, 2015 - ieeexplore.ieee.org
This paper presents a novel classification-based optic disc (OD) segmentation algorithm that
detects the OD boundary and the location of vessel origin (VO) pixel. First, the green plane …
detects the OD boundary and the location of vessel origin (VO) pixel. First, the green plane …