A survey on deep-learning-based diabetic retinopathy classification
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …
increasing recently. It affects people of all ages. People who have had diabetes for a long …
[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …
that, if left untreated, can result in even blindness. A novel automated technique for DR …
Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
Automated diabetic retinopathy detection using horizontal and vertical patch division-based pre-trained DenseNET with digital fundus images
Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
A prospective study on diabetic retinopathy detection based on modify convolutional neural network using Fundus images at sindh institute of ophthalmology & visual …
A Bajwa, N Nosheen, KI Talpur, S Akram - Diagnostics, 2023 - mdpi.com
Diabetic Retinopathy (DR) is the most common complication that arises due to diabetes, and
it affects the retina. It is the leading cause of blindness globally, and early detection can …
it affects the retina. It is the leading cause of blindness globally, and early detection can …
Diabetic retinopathy classification using CNN and hybrid deep convolutional neural networks
V Raja Sarobin M, R Panjanathan - Symmetry, 2022 - mdpi.com
Diabetic Retinopathy (DR) is an eye condition that mainly affects individuals who have
diabetes and is one of the important causes of blindness in adults. As the infection …
diabetes and is one of the important causes of blindness in adults. As the infection …
[HTML][HTML] A novel image-based machine learning model with superior accuracy and predictability for knee arthroplasty loosening detection and clinical decision making
Background Loosening is the leading cause of total knee arthroplasty (TKA) revision. This is
a heavy burden toward the healthcare system owing to the difficulty in diagnosis and …
a heavy burden toward the healthcare system owing to the difficulty in diagnosis and …
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
Glaucoma is a chronic progressive optic neuropathy characterized by the impairment of the
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
Diabetes mellitus Retinopathy (DR) has recently become a major health problem, and its
complications are also increasing worldwide. Early diagnosis of DR is essential to determine …
complications are also increasing worldwide. Early diagnosis of DR is essential to determine …