Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends

P Uppamma, S Bhattacharya - Journal of Healthcare …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …

Progression and challenges of IoT in healthcare: A short review

SM Rahman, S Ibtisum, P Podder… - arXiv preprint arXiv …, 2023 - arxiv.org
Smart healthcare, an integral element of connected living, plays a pivotal role in fulfilling a
fundamental human need. The burgeoning field of smart healthcare is poised to generate …

[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

M Nahiduzzaman, MR Islam, MOF Goni… - Expert Systems with …, 2023 - Elsevier
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 …

Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction

J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …

Using deep learning architectures for detection and classification of diabetic retinopathy

C Mohanty, S Mahapatra, B Acharya, F Kokkoras… - Sensors, 2023 - mdpi.com
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …

A novel approach for feature selection and classification of diabetes mellitus: machine learning methods

R Saxena, SK Sharma, M Gupta… - Computational …, 2022 - Wiley Online Library
An active research area where the experts from the medical field are trying to envisage the
problem with more accuracy is diabetes prediction. Surveys conducted by WHO have shown …

A survey on medical diagnosis of diabetes using machine learning techniques

A Choudhury, D Gupta - Recent Developments in Machine Learning and …, 2019 - Springer
While designing medical diagnosis software, disease prediction is said to be one of the
captious tasks. The techniques of machine learning have been successfully employed in …

Detection and prediction of diabetes using data mining: a comprehensive review

FA Khan, K Zeb, M Al-Rakhami, A Derhab… - IEEE …, 2021 - ieeexplore.ieee.org
Diabetes is one of the most rapidly growing chronic diseases, which has affected millions of
people around the globe. Its diagnosis, prediction, proper cure, and management are …

ResNet based deep features and random forest classifier for diabetic retinopathy detection

MK Yaqoob, SF Ali, M Bilal, MS Hanif, UM Al-Saggaf - Sensors, 2021 - mdpi.com
Diabetic retinopathy, an eye disease commonly afflicting diabetic patients, can result in loss
of vision if prompt detection and treatment are not done in the early stages. Once the …

Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines

T Nazir, A Irtaza, Z Shabbir, A Javed, U Akram… - Artificial intelligence in …, 2019 - Elsevier
Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes
from many years. The severe form of DR results in form of the blindness that can initially be …