A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …
causes vision problems and blindness due to disfigurement of human retina. According to …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
MR Islam, LF Abdulrazak, M Nahiduzzaman… - Computers in biology …, 2022 - Elsevier
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
[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 …
[HTML][HTML] A review on exudates detection methods for diabetic retinopathy
S Joshi, PT Karule - Biomedicine & Pharmacotherapy, 2018 - Elsevier
The presence of exudates on the retina is the most characteristic symptom of diabetic
retinopathy. As exudates are among early clinical signs of DR, their detection would be an …
retinopathy. As exudates are among early clinical signs of DR, their detection would be an …
A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions
Diabetic burden around the world with a consequence of diabetic retinopathy can lead to
permanent blindness in patients. Exudates detection in fundus images through an …
permanent blindness in patients. Exudates detection in fundus images through an …
Classification of diabetic retinopathy images based on customised CNN architecture
Diabetes is a disease emerging to be a big threat to humanity, which even after such
scientific and medical advance-ment is still incurable. Its only remedy is early detection and …
scientific and medical advance-ment is still incurable. Its only remedy is early detection and …
Diabetic retinopathy detection and grading: A transfer learning approach using simultaneous parameter optimization and feature-weighted ECOC ensemble
Early detection of Diabetic Retinopathy (DR) is crucial as it may cause blindness. Manual
diagnosis of DR severity by ophthalmologists is challenging and time consuming. Therefore …
diagnosis of DR severity by ophthalmologists is challenging and time consuming. Therefore …
Exudates detection using morphology mean shift algorithm in retinal images
K Wisaeng, W Sa-Ngiamvibool - IEEE Access, 2019 - ieeexplore.ieee.org
Exudates are a serious complication causing blindness in diabetic retinopathy patients. The
main objective of this paper is to develop a novel method to detect exudates lesions in color …
main objective of this paper is to develop a novel method to detect exudates lesions in color …
A predictive model for hypertension diagnosis using machine learning techniques
MAJ Tengnah, R Sooklall, SD Nagowah - Telemedicine technologies, 2019 - Elsevier
Hypertension, a non-communicable disease, is considered to be one of the biggest
contributors to the global death rate and according to the latest data published in May 2014 …
contributors to the global death rate and according to the latest data published in May 2014 …
Computational intelligence in eye disease diagnosis: a comparative study
SVM Kumar, R Gunasundari - Medical & Biological Engineering & …, 2023 - Springer
In recent years, eye disorders are an important health issue among older people. Generally,
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …