Deep learning model using classification for diabetic retinopathy detection: an overview
D Muthusamy, P Palani - Artificial Intelligence Review, 2024 - Springer
Early detection of diabetic retinopathy is a serious disease for diabetics to minimize their
sightlessness risks. The different approaches take a much longer time for a very large …
sightlessness risks. The different approaches take a much longer time for a very large …
Lightweight transformer and multi-head prediction network for no-reference image quality assessment
No-reference (NR) image quality assessment (IQA) is an important task of computer vision.
Most NR-IQA methods via deep neural networks do not reach desirable IQA performance …
Most NR-IQA methods via deep neural networks do not reach desirable IQA performance …
Feature Sampling based on Multilayer Perceptive Neural Network for image quality assessment
D Muthusamy, S Sathyamoorthy - Engineering Applications of Artificial …, 2023 - Elsevier
Image quality assessment (IQA) has a vital issue in image processing to measure the
perceptual quality of the image. This aims at the human visual system (HVS) by viewing for …
perceptual quality of the image. This aims at the human visual system (HVS) by viewing for …
Blind Image Quality Assessment via Multiperspective Consistency
Blind image quality assessment (BIQA) has made significant progress, but it remains a
challenging problem due to the wide variation in image content and the diverse nature of …
challenging problem due to the wide variation in image content and the diverse nature of …
Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management
D Muthusamy, P Palani - Biomedical Signal Processing and Control, 2025 - Elsevier
Diabetic retinopathy (DR) is a common eye disease and a notable starting point of blindness
in diabetic patients. Detecting the existence of a microaneurysm in the fundus images and …
in diabetic patients. Detecting the existence of a microaneurysm in the fundus images and …