[HTML][HTML] Recent development on detection methods for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
Fundus image classification methods for the detection of glaucoma: A review
Glaucoma is a neurodegenerative illness and is considered as a standout amongst the most
widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable …
widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable …
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 …
Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis
Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Background With the advancement of powerful image processing and machine learning
techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of …
techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of …
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 …
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 …
Segmentation of optic disk and optic cup from digital fundus images for the assessment of glaucoma
Glaucoma is an eye disease that results in irreversible loss of vision. The manual
examination of optic disk (OD) is a standard procedure used for detecting glaucoma. This …
examination of optic disk (OD) is a standard procedure used for detecting glaucoma. This …
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 …