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 …
Fives: A fundus image dataset for artificial Intelligence based vessel segmentation
Retinal vasculature provides an opportunity for direct observation of vessel morphology,
which is linked to multiple clinical conditions. However, objective and quantitative …
which is linked to multiple clinical conditions. However, objective and quantitative …
Evaluation of retinal image quality assessment networks in different color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal
imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated …
imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated …
Modular machine learning for Alzheimer's disease classification from retinal vasculature
Alzheimer's disease is the leading cause of dementia. The long progression period in
Alzheimer's disease provides a possibility for patients to get early treatment by having …
Alzheimer's disease provides a possibility for patients to get early treatment by having …
Color retinal image enhancement based on luminosity and contrast adjustment
M Zhou, K Jin, S Wang, J Ye… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: Many common eye diseases and cardiovascular diseases can be diagnosed
through retinal imaging. However, due to uneven illumination, image blurring, and low …
through retinal imaging. However, due to uneven illumination, image blurring, and low …
Single-examination risk prediction of severe retinopathy of prematurity
METHODS Infants undergoing routine ROP screening examinations (1579 total eyes, 190
with TR-ROP) were recruited from 8 North American study centers. A vascular severity score …
with TR-ROP) were recruited from 8 North American study centers. A vascular severity score …
Automated fundus image quality assessment in retinopathy of prematurity using deep convolutional neural networks
Purpose Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This
has important implications for the quality of ophthalmic diagnoses and for emerging methods …
has important implications for the quality of ophthalmic diagnoses and for emerging methods …
Developing portable widefield fundus camera for teleophthalmology: Technical challenges and potential solutions
A portable, low cost, widefield fundus camera is essential for developing affordable
teleophthalmology. However, conventional trans-pupillary illumination used in traditional …
teleophthalmology. However, conventional trans-pupillary illumination used in traditional …
Fundus image quality assessment: survey, challenges, and future scope
Various ocular diseases, such as cataract, diabetic retinopathy, and glaucoma have affected
a large proportion of the population worldwide. In ophthalmology, fundus photography is …
a large proportion of the population worldwide. In ophthalmology, fundus photography is …