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 …
Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics
Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …
A survey on medical image analysis in diabetic retinopathy
Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
individuals suffer from damage to the blood vessels in the retina. The disease manifests …
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
The role of medical image modalities and AI in the early detection, diagnosis and grading of retinal diseases: a survey
Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …
Potential biomarkers in diabetic retinopathy
Background: Diabetic retinopathy is one of the important complications of diabetes. In major
cases, diabetic retinopathy is unnoticed until the irreversible damage to eye occurs and …
cases, diabetic retinopathy is unnoticed until the irreversible damage to eye occurs and …
A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features
Retinopathy of Prematurity (ROP) is a blinding disease affecting the retina of low birth-
weight preterm infants. Accurate diagnosis of ROP is essential to identify treatment-requiring …
weight preterm infants. Accurate diagnosis of ROP is essential to identify treatment-requiring …
Multicolor image classification using the multimodal information bottleneck network (MMIB-Net) for detecting diabetic retinopathy
J Song, Y Zheng, J Wang, M Zakir Ullah, W Jiao - Optics Express, 2021 - opg.optica.org
Multicolor (MC) imaging is an imaging modality that records confocal scanning laser
ophthalmoscope (cSLO) fundus images, which can be used for the diabetic retinopathy (DR) …
ophthalmoscope (cSLO) fundus images, which can be used for the diabetic retinopathy (DR) …