Diabetic retinopathy techniques in retinal images: A review
N Salamat, MMS Missen, A Rashid - Artificial intelligence in medicine, 2019 - Elsevier
The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …
Recent advancements in retinal vessel segmentation
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis,
early treatment and surgery planning of ocular diseases. For the last two decades, a …
early treatment and surgery planning of ocular diseases. For the last two decades, a …
Improvement of retinal blood vessel detection using morphological component analysis
Detection and quantitative measurement of variations in the retinal blood vessels can help
diagnose several diseases including diabetic retinopathy. Intrinsic characteristics of …
diagnose several diseases including diabetic retinopathy. Intrinsic characteristics of …
A generalized method for the segmentation of exudates from pathological retinal fundus images
J Kaur, D Mittal - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Diabetic retinopathy, an asymptomatic complication of diabetes, is one of the leading causes
of blindness in the world. The exudates, abnormal leaked fatty deposits on retina, are one of …
of blindness in the world. The exudates, abnormal leaked fatty deposits on retina, are one 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 approach for the detection of neovascularization in fundus images using transfer learning
Patients with diabetes are at risk of developing a retinal disorder called Proliferative Diabetic
Retinopathy (PDR). One of the main characteristics of PDR is the development of …
Retinopathy (PDR). One of the main characteristics of PDR is the development of …
Automated detection of proliferative diabetic retinopathy using a modified line operator and dual classification
RA Welikala, J Dehmeshki, A Hoppe, V Tah… - Computer methods and …, 2014 - Elsevier
Proliferative diabetic retinopathy (PDR) is a condition that carries a high risk of severe visual
impairment. The hallmark of PDR is neovascularisation, the growth of abnormal new …
impairment. The hallmark of PDR is neovascularisation, the growth of abnormal new …
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 …
Vessel segmentation and microaneurysm detection using discriminative dictionary learning and sparse representation
Diabetic retinopathy (DR) is a major cause of visual impairment, and the analysis of retinal
image can assist patients to take action earlier when it is more likely to be effective. The …
image can assist patients to take action earlier when it is more likely to be effective. The …
Fast and robust exudate detection in retinal fundus images using extreme learning machine autoencoders and modified kaze features
Diabetic retinopathy (DR) is a health condition that affects the retinal blood vessels (BV) and
arises in over half of people living with diabetes. Exudates (EX) are significant indications of …
arises in over half of people living with diabetes. Exudates (EX) are significant indications of …