Machine learning-based diabetic retinopathy early detection and classification systems-a survey

DA Hasan, SRM Zeebaree… - 2021 1st Babylon …, 2021 - ieeexplore.ieee.org
Diabetes Mellitus is a chronic disease that spreads quickly worldwide. It results from
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …

An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images

S Chavan, N Choubey - Multimedia Tools and Applications, 2023 - Springer
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 …

Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images

P Cao, Q Hou, R Song, H Wang, O Zaiane - Computers in Biology and …, 2022 - Elsevier
Early detection and treatment of diabetic retinopathy (DR) can significantly reduce the risk of
vision loss in patients. In essence, we are faced with two challenges:(i) how to …

Classification of diabetic retinopathy based on hybrid neural network

YS Boral, SS Thorat - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Diabetic retinopathy is a diabetic disorder associated with human eye and it also remains as
a common cause for blindness across the globe. Diabetic retinopathy is still diagnosed …

A deep learning based approach for grading of diabetic retinopathy using large fundus image dataset

A Mehboob, MU Akram, NS Alghamdi, A Abdul Salam - Diagnostics, 2022 - mdpi.com
Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …

Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network

U Bhimavarapu, N Chintalapudi, G Battineni - Diagnostics, 2023 - mdpi.com
Diabetic retinopathy (DR) is an eye disease associated with diabetes that can lead to
blindness. Early diagnosis is critical to ensure that patients with diabetes are not affected by …

Juxtaposing deep learning models efficacy for ocular disorder detection of diabetic retinopathy for ophthalmoscopy

SA Dwivedi, A Attry - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
The reticence of ocular disorder in the community has been a major deterrent to one being
visually impaired before getting diagnosed. The genesis lies deeper in the inefficiency of …

A Comprehensive Survey on Detection of Ocular and Non-Ocular Diseases Using Color Fundus Images

M Gupta, S Gupta, G Palanisamy, JS Nisha… - IEEE …, 2024 - ieeexplore.ieee.org
This study examines the application of color fundus imaging for detecting both ocular and
non-ocular diseases using recent advancements in machine learning techniques. Fundus …

Predictive analysis of diabetic retinopathy with transfer learning

RS Salvi, SR Labhsetwar, PA Kolte… - 2021 4th Biennial …, 2021 - ieeexplore.ieee.org
With the prevalence of diabetes, Diabetes Mellitus Retinopathy (DR) is becoming a major
health problem across the world. The long-term medical complications arising due to DR …

Grading the severity of diabetic retinopathy using an ensemble of self-supervised pre-trained convolutional neural networks: ESSP-CNNs

S Parsa, T Khatibi - Multimedia Tools and Applications, 2024 - Springer
Diabetic retinopathy (DR) is a common eye disorder that can lead to vision problems and
blindness, necessitating accurate grading for effective treatment. While various artificial …