[HTML][HTML] Performance and limitation of machine learning algorithms for diabetic retinopathy screening: meta-analysis

JH Wu, TYA Liu, WT Hsu, JHC Ho, CC Lee - Journal of medical Internet …, 2021 - jmir.org
Background Diabetic retinopathy (DR), whose standard diagnosis is performed by human
experts, has high prevalence and requires a more efficient screening method. Although …

Automatic diabetic retinopathy grading system based on detecting multiple retinal lesions

E Abdelmaksoud, S El-Sappagh, S Barakat… - IEEE …, 2021 - ieeexplore.ieee.org
Multi-label classification (MLC) is considered an essential research subject in the computer
vision field, principally in medical image analysis. For this merit, we derive benefits from …

Deep learning enabled hemorrhage detection in retina with DPFE and splat segmentation in fundus images

LG Atlas, KP Arjun, KS Kumar, RK Dhanaraj… - … Signal Processing and …, 2024 - Elsevier
The range of diabetics, hypertension, occlusions in vascular are rapidly increasing in the
modern era. Adversarial effects of these diseases are the organ damage which is increasing …

Iran diabetes research study; knowledge discovery in diagnosis: a scoping review

SE Fana, R Ebrahimi, S Esmaeili, C Rambod… - Journal of Diabetes & …, 2021 - Springer
Introduction The rising prevalence of diabetes shows high health and socio-economic
burdens. Therefore, the development and evaluation of new diagnostic methods may …

ADRGS: an automatic diabetic retinopathy grading system through machine learning

YAS Devi, KM Chari - Multimedia Tools and Applications, 2024 - Springer
Abstract In recent years, Diabetic Retinopathy (DR) has emerged as a significant chronic
ailment affecting roughly one-third of diabetic patients globally. DR is the leading cause of …

Survey or Review on the Deep Learning Techniques for Retinal Image Segmentation in Predicting/Diagnosing Diabetic Retinopathy

R Sowmiya, R Kalpana - AI-Enabled Multiple-Criteria Decision …, 2022 - igi-global.com
Artificial intelligence (AI)-based image segmentation plays an important role in image
processing and computer vision. AI can be used in the medical field (eg, ophthalmology …

[PDF][PDF] Retinal Image Lesions Assisted Diabetic Retinopathy Screening System Through Machine Learning.

YMS Reddy, RSE Ravindran - … Journal of Intelligent Engineering & Systems, 2022 - inass.org
This paper proposes an Automatic Screening System that identifies the symptoms of
Diabetic Retinopathy from retinal fundus images and determines the severity. The entire …

A multi-label computer-aided diagnoses system for detecting and diagnosing diabetic retinopathy

E AbdelMaksoud, S Barakat… - 2019 14th International …, 2019 - ieeexplore.ieee.org
Multi-label classification (MLC) is considered an active research topic, especially in medical
image analysis. We used MLC to diagnose the multiple different grades of Diabetic …

Detection of diabetic retinopathy at early stage using retinal fundus images

T Zaman, QD Hossain - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Diabetic retinopathy is among the most widespread disorder that affects the eyes and
primary basis of ocular breakage in industrialized nations. The presence of microaneurysms …

Detection of eye ailments using segmentation of blood vessels from eye fundus image

P Datta, S Rani, D Koundal - … of ICRIC 2019: Recent Innovations in …, 2020 - Springer
Eyes are vital part of the body which can be affected by many diseases that lead to vision
loss. Glaucoma is one such eye disease that may cause vision loss. There are multiple …