A survey on computer aided diagnosis for ocular diseases
Abstract Background Computer Aided Diagnosis (CAD), which can automate the detection
process for ocular diseases, has attracted extensive attention from clinicians and …
process for ocular diseases, has attracted extensive attention from clinicians and …
[HTML][HTML] Algorithms for red lesion detection in Diabetic Retinopathy: A review
RS Biyani, BM Patre - Biomedicine & Pharmacotherapy, 2018 - Elsevier
Diabetic Retinopathy (DR) is an outcome of prolonged diabetes which directly or indirectly
affect the human vision. DR is asymptomatic in its early stages and the late diagnosis lead to …
affect the human vision. DR is asymptomatic in its early stages and the late diagnosis lead to …
Detection and classification of retinal lesions for grading of diabetic retinopathy
Diabetic Retinopathy (DR) is an eye abnormality in which the human retina is affected due to
an increasing amount of insulin in blood. The early detection and diagnosis of DR is vital to …
an increasing amount of insulin in blood. The early detection and diagnosis of DR is vital to …
A hybrid convolutional neural network model for automatic diabetic retinopathy classification from fundus images
Objective: Diabetic Retinopathy (DR) is a retinal disease that can cause damage to blood
vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early …
vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early …
Identification and classification of microaneurysms for early detection of diabetic retinopathy
Diabetic retinopathy is a progressive eye disease which may cause blindness if not detected
and treated in time. The early detection and diagnosis of diabetic retinopathy is important to …
and treated in time. The early detection and diagnosis of diabetic retinopathy is important to …
Automatic detection of retinal lesions for screening of diabetic retinopathy
SS Kar, SP Maity - IEEE Transactions on Biomedical …, 2017 - ieeexplore.ieee.org
Objective: Diabetic retinopathy (DR) is characterized by the progressive deterioration of
retina with the appearance of different types of lesions that include micro-aneurysms …
retina with the appearance of different types of lesions that include micro-aneurysms …
Retinal microaneurysm detection through local rotating cross-section profile analysis
A method for the automatic detection of microaneurysms (MAs) in color retinal images is
proposed in this paper. The recognition of MAs is an essential step in the diagnosis and …
proposed in this paper. The recognition of MAs is an essential step in the diagnosis and …
Retinal microaneurysms detection using local convergence index features
Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease.
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …
Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning
Despite several attempts, automated detection of microaneurysm (MA) from digital fundus
images still remains to be an open issue. This is due to the subtle nature of MAs against the …
images still remains to be an open issue. This is due to the subtle nature of MAs against the …
A deep learning method for microaneurysm detection in fundus images
J Shan, L Li - 2016 IEEE First International Conference on …, 2016 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is the leading cause of blindness in the working-age population.
Microaneurysms (MAs), due to leakage from retina blood vessels, are the early signs of DR …
Microaneurysms (MAs), due to leakage from retina blood vessels, are the early signs of DR …