Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, F Al Adel, N Alzaidi - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
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 …
CANet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of
permanent blindness in the working-age population. Automatic grading of DR and DME …
permanent blindness in the working-age population. Automatic grading of DR and DME …
Convolutional neural networks for diabetic retinopathy
The diagnosis of diabetic retinopathy (DR) through colour fundus images requires
experienced clinicians to identify the presence and significance of many small features …
experienced clinicians to identify the presence and significance of many small features …
A lightweight robust deep learning model gained high accuracy in classifying a wide range of diabetic retinopathy images
Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
DREAM: diabetic retinopathy analysis using machine learning
This paper presents a computer-aided screening system (DREAM) that analyzes fundus
images with varying illumination and fields of view, and generates a severity grade for …
images with varying illumination and fields of view, and generates a severity grade for …
Image preprocessing in classification and identification of diabetic eye diseases
Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients.
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images
Diabetic Retinopathy (DR) is a universal ocular complication of diabetes patients and also
the main disease that causes blindness in the world wide. Automatic and efficient DR …
the main disease that causes blindness in the world wide. Automatic and efficient DR …
A convolutional neural network for the screening and staging of diabetic retinopathy
Diabetic retinopathy (DR) is a serious retinal disease and is considered as a leading cause
of blindness in the world. Ophthalmologists use optical coherence tomography (OCT) and …
of blindness in the world. Ophthalmologists use optical coherence tomography (OCT) and …