Computer-aided diagnosis of diabetic retinopathy: A review
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …
[HTML][HTML] CNN-hyperparameter optimization for diabetic maculopathy diagnosis in optical coherence tomography and fundus retinography
Diabetic Maculopathy (DM) is considered the most common cause of permanent visual
impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders …
impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders …
Telehealth practice recommendations for diabetic retinopathy
HK Li, M Horton, SE Bursell, J Cavallerano… - Telemedicine and e …, 2011 - liebertpub.com
Diabetic Retinopathy Telehealth Practice Recommendations Working Group Second Edition
Editorial Committee: Helen K. Li, MD (Chair), Mark Horton, OD, MD (Co-chair), Sven-Erik …
Editorial Committee: Helen K. Li, MD (Chair), Mark Horton, OD, MD (Co-chair), Sven-Erik …
[HTML][HTML] Deep convolutional neural network-based early automated detection of diabetic retinopathy using fundus image
K Xu, D Feng, H Mi - Molecules, 2017 - mdpi.com
The automatic detection of diabetic retinopathy is of vital importance, as it is the main cause
of irreversible vision loss in the working-age population in the developed world. The early …
of irreversible vision loss in the working-age population in the developed world. The early …
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 …
Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification
Convolutional Neural Networks (CNNs) have gained remarkable success in computer
vision, which is mostly owe to their ability that enables learning rich image representations …
vision, which is mostly owe to their ability that enables learning rich image representations …
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 …
Exudate detection in color retinal images for mass screening of diabetic retinopathy
The automatic detection of exudates in color eye fundus images is an important task in
applications such as diabetic retinopathy screening. The presented work has been …
applications such as diabetic retinopathy screening. The presented work has been …
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Diabetic macular edema (DME) is a common vision threatening complication of diabetic
retinopathy. In a large scale screening environment DME can be assessed by detecting …
retinopathy. In a large scale screening environment DME can be assessed by detecting …
[HTML][HTML] Exudate detection in fundus images using deeply-learnable features
Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …