[HTML][HTML] A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …
causes vision problems and blindness due to disfigurement of human retina. According to …
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 …
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 …
[HTML][HTML] Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc
Detecting the locations of the optic disc and fovea is a crucial task towards developing
automatic diagnosis and screening tools for retinal disease. We propose to address this …
automatic diagnosis and screening tools for retinal disease. We propose to address this …
[HTML][HTML] A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema
Diabetic macular edema (DME) is a condition of retinal swelling due to the accumulation of
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …
Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images
D Marin, ME Gegundez-Arias, A Suero… - Computer methods and …, 2015 - Elsevier
Abstract Development of automatic retinal disease diagnosis systems based on retinal
image computer analysis can provide remarkably quicker screening programs for early …
image computer analysis can provide remarkably quicker screening programs for early …
A self-adaptive matched filter for retinal blood vessel detection
T Chakraborti, DK Jha, AS Chowdhury… - Machine Vision and …, 2015 - Springer
Retinal fundus images are widely studied in medicine for the detection of certain pathologies
such as diabetes and glaucoma, the two major reasons for blindness. In this paper, a self …
such as diabetes and glaucoma, the two major reasons for blindness. In this paper, a self …
A pixel-wise distance regression approach for joint retinal optical disc and fovea detection
This paper introduces a novel strategy for the task of simultaneously locating two key
anatomical landmarks in retinal images of the eye fundus, namely the optic disc and the …
anatomical landmarks in retinal images of the eye fundus, namely the optic disc and the …
An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification
D Marín, ME Gegundez-Arias, B Ponte… - Medical & biological …, 2018 - Springer
The present paper aims at presenting the methodology and first results of a detection system
of risk of diabetic macular edema (DME) in fundus images. The system is based on the …
of risk of diabetic macular edema (DME) in fundus images. The system is based on the …