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[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …
over the world. Diabetic eye illness is identified as one of the most common reasons for …
Classification of Diabetic Retinopathy Images through Deep Learning Models-Color Channel Approach: A Review
On a global scale diabetic retinopathy, or DR, is the most common cause of vision loss.
Blindness can be prevented with prompt treatment and early identification with retinal …
Blindness can be prevented with prompt treatment and early identification with retinal …
Early retinal microvascular alterations in young type 1 diabetic patients without clinical retinopathy
AO Dan, A Ștefănescu-Dima, AT Bălășoiu, I Puiu… - Diagnostics, 2023 - mdpi.com
The purpose of this study is to identify and quantify preclinical changes with the help of
optical coherence tomography angiography (OCTA) within the retinal microcirculation of …
optical coherence tomography angiography (OCTA) within the retinal microcirculation of …
Explainable artificial intelligence in deep learning neural nets-based digital images analysis
This review shows the capabilities of artificial intelligence (AI) in the analysis of digital
images in the field of medicine using convolutional neural networks of deep learning (DL). A …
images in the field of medicine using convolutional neural networks of deep learning (DL). A …
Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier
Diabetic Retinopathy (DR) is a widespread ocular condition and a significant contributor to
global blindness. Timely identification and precise diagnosis of DR are essential for …
global blindness. Timely identification and precise diagnosis of DR are essential for …
Enhancing diabetic retinopathy diagnosis with inception v4: a deep learning approach
An automated system for the classification of Diabetic Retinopathy (DR) is introduced in this
study. DR is a prominent cause of blindness globally, primarily impacting individuals aged …
study. DR is a prominent cause of blindness globally, primarily impacting individuals aged …
[HTML][HTML] Harnessing deep learning for detection of diabetic retinopathy in geriatric group using optical coherence tomography angiography-OCTA: A promising …
The prevalence of diabetic retinopathy (DR) among the geriatric population poses significant
challenges for early detection and management. Optical Coherence Tomography …
challenges for early detection and management. Optical Coherence Tomography …
Detection of diabetic retinopathy using deep learning
Long-term diabetic patients are more likely to develop diabetic retinopathy (DR), a serious
health condition. If such a determination is not found early enough, it might result in visual …
health condition. If such a determination is not found early enough, it might result in visual …
Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples
Abstract Early detection of Diabetic Retinopathy (DR) and its grading has been a growing
demand among researchers in this community. Computer-aided diagnostic (CAD) systems …
demand among researchers in this community. Computer-aided diagnostic (CAD) systems …
[HTML][HTML] DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer
Diabetic retinopathy, a common complication of diabetes, is further exacerbated by factors
such as hypertension and obesity. This study introduces the Diabetic Retinopathy Compact …
such as hypertension and obesity. This study introduces the Diabetic Retinopathy Compact …