[HTML][HTML] Machine learning and data mining methods in diabetes research

I Kavakiotis, O Tsave, A Salifoglou… - Computational and …, 2017 - Elsevier
The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods

G Selvachandran, SG Quek, R Paramesran… - Artificial intelligence …, 2023 - Springer
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …

Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features

Q Abbas, I Fondon, A Sarmiento, S Jiménez… - Medical & biological …, 2017 - Springer
Diabetic retinopathy (DR) is leading cause of blindness among diabetic patients.
Recognition of severity level is required by ophthalmologists to early detect and diagnose …

Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics

M Mateen, J Wen, M Hassan, N Nasrullah, S Sun… - IEEE …, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …

Artificial intelligence methodologies and their application to diabetes

M Rigla, G García-Sáez, B Pons… - Journal of diabetes …, 2018 - journals.sagepub.com
In the past decade diabetes management has been transformed by the addition of
continuous glucose monitoring and insulin pump data. More recently, a wide variety of …

[HTML][HTML] A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema

M Zubair, M Umair, RA Naqvi, D Hussain… - Journal of King Saud …, 2023 - Elsevier
Diabetic macular edema (DME) is a condition of retinal swelling due to the accumulation of
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

Automated diabetic macular edema (DME) grading system using DWT, DCT features and maculopathy index

UR Acharya, MRK Mookiah, JEW Koh, JH Tan… - Computers in biology …, 2017 - Elsevier
The cause of diabetic macular edema (DME) is due to prolonged and uncontrolled diabetes
mellitus (DM) which affects the vision of diabetic subjects. DME is graded based on the …

A review on optimization techniques for medical image analysis

P Kaur, RK Singh - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
Data mining of medical imaging approaches makes it difficult to determine their value in the
disease's insight, analysis, and diagnosis. Image classification presents a significant …

Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: a comparative study

A Gudigar, U Raghavendra, EJ Ciaccio… - IEEE …, 2019 - ieeexplore.ieee.org
Medical imaging and analysis are useful to visualize anatomic structure. However, analysis
of the pathologic substrate is difficult and inefficient when using simple imaging tools. The …