Overcoming Nonlinear Dynamics in Diabetic Retinopathy Classification: A Robust AI-Based Model with Chaotic Swarm Intelligence Optimization and Recurrent Long Short-Term Memory

Diabetic Retinopathy Detection: A Blockchain and African Vulture Optimization Algorithm-Based Deep Learning Framework

(2023) Posham Uppamma et al.   Electronics

Diabetic retinopathy detection by optimized deep learning model

(2023) Venubabu Rachapudi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-Level severity classification for diabetic retinopathy based on hybrid optimization enabled deep learning

(2023) S. Zulaikha Beevi   Biomedical Signal Processing and Control

Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection

(2022) Shubhi Gupta et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model

(2022) Nagaraja Gundluru et al.   Computational Intelligence and Neuroscience

AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

(2022) Anas Bilal et al.   Symmetry-Basel

Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem

(2022) Ashima Kukkar et al.   IEEE Transactions on Computational Social Systems

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

(2021) Seçkin Karasu et al.   ENERGY

Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model

(2020) Thippa Reddy Gadekallu et al.   Electronics

Adaptive machine learning classification for diabetic retinopathy

(2020) Laxmi Math et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification

(2019) Yuansheng Hua et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Diabetic Retinopathy Detection through Novel Tetragonal Local Octa Patterns and Extreme Learning Machines

(2019) Tahira Nazir et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

WITHDRAWN: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition

(2019) Pouya Saeedi et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Diabetic retinopathy detection using red lesion localization and convolutional neural networks

(2019) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep convolutional neural networks for diabetic retinopathy detection by image classification

(2018) Shaohua Wan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report

(2017) Daqian Wei et al.   Energies

Defect detection in magnetic tile images based on stationary wavelet transform

(2016) Chengli Yang et al.   NDT & E INTERNATIONAL

Diabetic retinopathy

(2016) Tien Y. Wong et al.   Nature Reviews Disease Primers

R-peaks detection based on stationary wavelet transform

(2015) M. Merah et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform

(2011) R. Szewczyk et al.   PATTERN RECOGNITION LETTERS

Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review

(2010) Oliver Faust et al.   JOURNAL OF MEDICAL SYSTEMS

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Neural network based detection of hard exudates in retinal images

(2008) María García et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE