Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy

MA Berbar - Health Information Science and Systems, 2022 - Springer
Introduction Reliable computer diagnosis of diabetic retinopathy (DR) is needed to rescue
many with diabetes who may be under threat of blindness. This research aims to detect the …

Deep learning-based diabetic retinopathy assessment on embedded system

I Ardiyanto, HA Nugroho… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a disease which affect the vision ability. The observation by an
ophthalmologist usually conducted by analyzing the retinal images of the patient which are …

Diabetic retinopathy detection and grading using deep learning

MA BERBAR - Menoufia Journal of Electronic Engineering …, 2022 - journals.ekb.eg
Introduction: One of the complications of diabetes disease is diabetic retinopathy (DR).
Diabetic patients may suffer from total loss of sight that's if it is not detected and medicated …

[PDF][PDF] Diabetic retinopathy classification using machine learning techniques

SRL Suganthi, UK Sneha, S Shwetha - International Journal of …, 2020 - academia.edu
Diabetic Retinopathy is an eye disease which is caused due to long term diabetes. It is one
of the major complications of diabetes that affects the blood vessels by causing damage to …

Diabetic Retinopathy Detection with Weighted Cross-Entropy Loss

J Huang, X Wu, H Qi, J Cheng… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) has received increasing attention due to the growing number of
DR patients. Statistics show that the number of diabetic patients worldwide is about 425 …

Segmentation of exudates based on high pass filtering in retinal fundus images

HA Nugroho, KZW Oktoeberza, TB Adji… - 2015 7th …, 2015 - ieeexplore.ieee.org
The World Diabetes Foundation has predicted that more than 439 million people in 2030 will
suffer from diabetes. Long-term diabetics can lead to the damage of retinal blood vessels …

[PDF][PDF] Detecting and classifying diabetic retinopathy in fundus retina images using artificial neural networks-based firefly clustering algorithm

K Malathi, R Nedunchelian - ARPN J Eng Appl Sci, 2016 - researchgate.net
Today, image-processing techniques are widely used in fields such as engineering and
medical science. This paper focuses on medical imaging, particularly that of retinal images …

Maximum entropy principle for exudates segmentation in retinal fundus images

I Ardiyanto, HA Nugroho… - … Conference on Information …, 2016 - ieeexplore.ieee.org
This paper addresses a novel segmentation algorithm for detecting one of the diabetic
retinopathy pathologies, called “exudates”. Exudates segmentation is ordinarily examined …

Diagnosing Diabetic Retinopathy by Using a Blood Vessel Extraction Technique and a Convolutional Neural Network

U Kose, O Deperlioglu, J Alzubi, B Patrut… - Deep Learning for …, 2021 - Springer
As a critical relation with image processing and deep learning, it is a remarkable research
way to work on medical images. As an important disease, diabetic retinopathy has the …

Detection of hard exudates using 2D Otsu algorithm in digital retinal fundus image

D Kayal, S Banerjee - CSI transactions on ICT, 2017 - Springer
Blindness is one of the most serious complications among diabetic patients due to diabetic
retinopathy. Primary cause of diabetic retinopathy is abnormality of retinal blood vessels …