Research graph
References from A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2021 · External reference
Unresolved reference
External reference
Survey on recent developments in automatic detection of diabetic retinopathy
10.1016/j.jfo.2020.08.009 · 2021 · External reference
Guidelines on Diabetic Eye Care: The International Council of Ophthalmology Recommendations for Screening, Follow-up, Referral, and Treatment Based on Resource Settings
2018 · External reference
Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN
2022 · External reference
Zaki AM. Face Recognition Based on Grey Wolf Optimization for Feature Selection
2019 · External reference
Utilizing convolutional neural networks to classify monkeypox skin lesions.
2023 · External reference
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt.
10.1007/s10115-023-01851-4 · 2023 · External reference
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction.
2023 · External reference
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition.
2023 · External reference
Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction.
10.1038/s41598-023-44964-0 · 2023 · External reference
Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs.
2024 · External reference
Optimizing epileptic seizure recognition performance with feature scaling and dropout layers.
10.1007/s00521-023-09204-6 · 2024 · External reference
Optimizing classification of diseases through language model analysis of symptoms.
2024 · External reference
Diabetic Retinopathy Screening: A Systematic Review of Qualitative Literature
2021 · External reference
Performance and limitation of machine learning algorithms for diabetic retinopathy screening: Meta-analysis
2021 · External reference
Diabetic retinopathy, diabetic macular edema, and cardiovascular risk: the importance of a long-term perspective and a multidisciplinary approach to optimal intravitreal therapy. Acta Diabetologica
10.1007/s00592-019-01453-z · 2020 · External reference
Deep learning disease prediction model for use with intelligent robots.
10.1016/j.compeleceng.2020.106765 · 2020 · External reference
Response to Comment on Lee et al. Multicenter, head-to-head, real-world validation study of seven automated artificial intelligence diabetic retinopathy screening systems
10.2337/dc20-1877 · 2021 · External reference
Early Detection of Microvascular Impairments With Optical Coherence Tomography Angiography in Diabetic Patients Without Clinical Retinopathy: A Meta-analysis
2021 · External reference
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients
2021 · External reference
Testing a deep learning algorithm for detection of diabetic retinopathy in a spanish diabetic population and with messidor database.
10.3390/diagnostics11081385 · 2021 · External reference
Early Detection of Microvascular Changes in Patients with Diabetes Mellitus without and with Diabetic Retinopathy: Comparison between Different Swept-Source OCT-A Instruments.
10.1155/2019/2547216 · 2019 · External reference
An Accurate Deep Learning Model for Clinical Entity Recognition from Clinical Notes
2021 · External reference
Personalized nutrition recommendation for diabetic patients using optimization techniques.
2020 · External reference
Grey wolf optimizer.
10.1016/j.advengsoft.2013.12.007 · 2014 · External reference
Multilevel thresholding using grey wolf optimizer for image segmentation.
2017 · External reference
Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks
2018 · External reference
Automatic leaf segmentation using grey Wolf optimizer based neural network. Proceedings of the 21st
2017 · External reference
Modified Grey Wolf Optimizer for Global Engineering Optimization.
2016 · External reference
Enhanced grey Wolf optimization algorithm for global optimization.
10.3233/fi-2017-1539 · 2017 · External reference
An improved grey wolf optimizer for solving engineering problems.
10.1016/j.eswa.2020.113917 · 2021 · External reference
Indian diabetic retinopathy image dataset (IDRiD): A database for diabetic retinopathy screening research.
10.3390/data3030025 · 2018 · External reference
DR HAGIS—a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients.
10.1117/1.jmi.4.1.014503 · 2017 · External reference
Unresolved reference
2019 · External reference
Emperor penguin optimization algorithm- and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus images.
2023 · External reference
Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy.
2023 · External reference
NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
10.1016/j.compbiomed.2024.108099 · 2024 · External reference
Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images.
2022 · External reference
Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.
10.1155/2022/8512469 · 2022 · External reference
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique
10.1007/s11517-022-02564-6 · 2022 · External reference
Resnet based deep features and random forest classifier for diabetic retinopathy detection†.
2021 · External reference
A novel four-step feature selection technique for diabetic retinopathy grading.
10.1007/s13246-021-01073-4 · 2021 · External reference
A hybrid svm naÏve-bayes classifier for bright lesions recognition in eye fundus images
2021 · External reference
Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks.
10.1155/2020/5801870 · 2020 · External reference
10.1109/icoiact50329.2020.9332082
10.1109/icoiact50329.2020.9332082 · External reference
10.1109/smart-tech49988.2020.00025
10.1109/smart-tech49988.2020.00025 · External reference
10.1109/aicai.2019.8701231
10.1109/aicai.2019.8701231 · External reference
A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection.
10.1109/access.2019.2947484 · 2019 · External reference
10.1109/icias.2018.8540579
10.1109/icias.2018.8540579 · External reference
AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning.
2022 · External reference
A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images.
2022 · External reference
Early detection of diabetic retinopathy using pca-firefly based deep learning model.
2020 · External reference
10.1109/conit51480.2021.9498466
10.1109/conit51480.2021.9498466 · External reference
Diabetic Retinopathy Detection and Classification Using Mixed Models for a Disease Grading Database.
10.1109/access.2021.3056186 · 2021 · External reference
A Novel Wrapper-Based Feature Selection for Early Diabetes Prediction Enhanced with a Metaheuristic.
2021 · External reference
Improved Grey Wolf Optimization-Based Feature Selection and Classification Using CNN for Diabetic Retinopathy Detection. Lect Notes Data Eng Commun Technol.
2022 · External reference
Attentional Mechanisms and Improved Residual Networks for Diabetic Retinopathy Severity Classification.
2022 · External reference
Unresolved reference
2022 · External reference
Building extraction from remote sensing data using fully convolutional networks.
2017 · External reference
Parallel Fully Convolutional Network for Semantic Segmentation.
2021 · External reference
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
2017 · External reference
Extreme learning machine: algorithm, theory and applications.
2015 · External reference
Extreme learning machine for regression and multiclass classification.
2012 · External reference
10.1109/cises58720.2023.10183613
10.1109/cises58720.2023.10183613 · External reference
Unresolved reference
2016 · External reference
Genetic algorithms.
10.1038/scientificamerican0792-66 · 1992 · External reference
Enhanced Deep Deterministic Policy Gradient Algorithm Using Grey Wolf Optimizer for Continuous Control Tasks.
2023 · External reference
EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images
10.3390/electronics12194094 · 2023 · External reference
Improved Support Vector Machine based on CNN-SVD for Vision-Threatening Diabetic Retinopathy Detection and Classification.
2024 · External reference
An ensemble of fine-tuned fully convolutional neural networks for pleural effusion cell nuclei segmentation
2020 · External reference
Hypergraph membrane system based F2 fully convolutional neural network for brain tumor segmentation
2020 · External reference
Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks.
10.1016/j.bbe.2020.01.004 · 2020 · External reference
A fully automatic computer-aided diagnosis system for hepatocellular carcinoma using convolutional neural networks.
2020 · External reference
Spoken language identification based on optimised genetic algorithm–extreme learning machine approach.
2019 · External reference
Genetic algorithm based on natural selection theory for optimization problems.
2020 · External reference
Breast cancer diagnosis using the fast learning network algorithm
2023 · External reference
Spoken Language Identification Based on Particle Swarm Optimisation–Extreme Learning Machine Approach
2020 · External reference
10.1109/icecce52056.2021.9514107
10.1109/icecce52056.2021.9514107 · External reference
10.1109/istt56288.2022.9966535
10.1109/istt56288.2022.9966535 · External reference
Detection and classification of red lesions from retinal images for diabetic retinopathy detection using deep learning models.
10.1007/s11042-023-15045-1 · 2023 · External reference
10.1109/southeastcon48659.2022.9764031
10.1109/southeastcon48659.2022.9764031 · External reference
Supervised Contrastive Learning with Angular Margin for the Detection and Grading of Diabetic Retinopathy.
2023 · External reference
Grading diabetic retinopathy using multiresolution based CNN.
10.1016/j.bspc.2023.105210 · 2023 · External reference
