On the public citation graph

Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features

https://doi.org/10.1002/ima.22797
0 signed · 107 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22413openalex-snapshot
Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis
inferredcites →https://doi.org/10.1002/ima.22494openalex-snapshot
Glaucoma assessment from color fundus images using convolutional neural network
inferredcites →https://doi.org/10.1007/3-540-44673-7_8openalex-snapshot
Pattern Recognition and Neural Networks
inferredcites →https://doi.org/10.1007/3-540-45054-8_27openalex-snapshot
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
inferredcites →https://doi.org/10.1007/978-1-4020-9014-1_8openalex-snapshot
Digital Image Processing
inferredcites →https://doi.org/10.1007/s11517-014-1167-5openalex-snapshot
Computer-aided diabetic retinopathy detection using trace transforms on digital fundus images
inferredcites →https://doi.org/10.1007/s12530-022-09426-4openalex-snapshot
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets
inferredcites →https://doi.org/10.1007/s13534-017-0051-2openalex-snapshot
Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1016/b978-0-12-336156-1.50061-6openalex-snapshot
Contrast Limited Adaptive Histogram Equalization
inferredcites →https://doi.org/10.1016/b978-0-12-811318-9.00027-2openalex-snapshot
Support Vector Machine: Principles, Parameters, and Applications
inferredcites →https://doi.org/10.1016/j.bbe.2017.11.002openalex-snapshot
Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images
inferredcites →https://doi.org/10.1016/j.bspc.2013.11.006openalex-snapshot
Automated classification of glaucoma stages using higher order cumulant features
inferredcites →https://doi.org/10.1016/j.bspc.2014.09.004openalex-snapshot
Decision support system for the glaucoma using Gabor transformation
inferredcites →https://doi.org/10.1016/j.bspc.2018.08.029openalex-snapshot
Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine
inferredcites →https://doi.org/10.1016/j.bspc.2020.102237openalex-snapshot
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform
inferredcites →https://doi.org/10.1016/j.bspc.2020.102244openalex-snapshot
Automated segmentation and classifcation of retinal features for glaucoma diagnosis
inferredcites →https://doi.org/10.1016/j.bspc.2021.102559openalex-snapshot
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
inferredcites →https://doi.org/10.1016/j.cmpb.2018.07.012openalex-snapshot
Computer-aided diagnosis of glaucoma using fundus images: A review
inferredcites →https://doi.org/10.1016/j.compbiomed.2016.04.009openalex-snapshot
Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features
inferredcites →https://doi.org/10.1016/j.compbiomed.2016.04.015openalex-snapshot
Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.06.017openalex-snapshot
Iterative variational mode decomposition based automated detection of glaucoma using fundus images
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.06.022openalex-snapshot
A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images
inferredcites →https://doi.org/10.1016/j.compbiomed.2018.11.028openalex-snapshot
Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
inferredcites →https://doi.org/10.1016/j.future.2018.10.005openalex-snapshot
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals
inferredcites →https://doi.org/10.1016/j.knosys.2012.02.010openalex-snapshot
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
inferredcites →https://doi.org/10.1016/j.medengphy.2011.07.030openalex-snapshot
A survey and comparative study on the instruments for glaucoma detection
inferredcites →https://doi.org/10.1016/j.media.2009.12.006openalex-snapshot
Glaucoma risk index:Automated glaucoma detection from color fundus images
inferredcites →https://doi.org/10.1016/j.neucom.2015.11.034openalex-snapshot
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests
inferredcites →https://doi.org/10.1016/j.ogla.2018.11.004openalex-snapshot
Detecting Glaucoma Progression Using Guided Progression Analysis with OCT and Visual Field Assessment in Eyes Classified by International Classification of Disease Severity Codes
inferredcites →https://doi.org/10.1016/j.patrec.2004.09.007openalex-snapshot
2D-LDA: A statistical linear discriminant analysis for image matrix
inferredcites →https://doi.org/10.1016/j.ultrasmedbio.2012.01.015openalex-snapshot
Atherosclerotic Risk Stratification Strategy for Carotid Arteries Using Texture-Based Features
inferredcites →https://doi.org/10.1049/iet-ipr.2016.0812openalex-snapshot
Improved automated detection of glaucoma from fundus image using hybrid structural and textural features
inferredcites →https://doi.org/10.1049/iet-ipr.2018.5297openalex-snapshot
Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images
inferredcites →https://doi.org/10.1049/iet-ipr.2019.0036openalex-snapshot
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images
inferredcites →https://doi.org/10.1109/cbms.2011.5999143openalex-snapshot
RIM-ONE: An open retinal image database for optic nerve evaluation
inferredcites →https://doi.org/10.1109/cbms.2013.6627771openalex-snapshot
Automatic no-reference quality assessment for retinal fundus images using vessel segmentation
inferredcites →https://doi.org/10.1109/jbhi.2016.2544961openalex-snapshot
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images
inferredcites →https://doi.org/10.1109/jsen.2019.2909526openalex-snapshot
Non-Invasive Measurement of Glaucoma Disease at Earlier Stage Through GMR Sensor AH Biomagnetic Signal From Eye and RADWT Algorithm
inferredcites →https://doi.org/10.1109/jsen.2020.3001972openalex-snapshot
Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform From Retinal Fundus Images
inferredcites →https://doi.org/10.1109/lsp.2020.3045638openalex-snapshot
Automatic Classification of Glaucoma Stages Using Two-Dimensional Tensor Empirical Wavelet Transform
inferredcites →https://doi.org/10.1109/tbme.2006.888831openalex-snapshot
Automated Optic Disk Boundary Detection by Modified Active Contour Model
inferredcites →https://doi.org/10.1109/tbme.2012.2187293openalex-snapshot
Depth Discontinuity-Based Cup Segmentation From Multiview Color Retinal Images
inferredcites →https://doi.org/10.1109/tim.2021.3071223openalex-snapshot
2-D Compact Variational Mode Decomposition- Based Automatic Classification of Glaucoma Stages From Fundus Images
inferredcites →https://doi.org/10.1109/titb.2011.2119322openalex-snapshot
Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features
inferredcites →https://doi.org/10.1109/titb.2011.2176540openalex-snapshot
Wavelet-Based Energy Features for Glaucomatous Image Classification
inferredcites →https://doi.org/10.1109/tmi.2013.2247770openalex-snapshot
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening
inferredcites →https://doi.org/10.1109/tmi.2018.2837012openalex-snapshot
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image
inferredcites →https://doi.org/10.1109/tmi.2019.2927226openalex-snapshot
A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
Textural Features for Image Classification
inferredcites →https://doi.org/10.1142/s0219519419400116openalex-snapshot
AUTOMATED GLAUCOMA DETECTION USING CENTER SLICE OF HIGHER ORDER STATISTICS
inferredcites →https://doi.org/10.1162/neco.1997.9.7.1493openalex-snapshot
Dimension Reduction by Local Principal Component Analysis
inferredcites →https://doi.org/10.1167/iovs.12-11467openalex-snapshot
The Relationship Between Cup-to-Disc Ratio and Estimated Number of Retinal Ganglion Cells
inferredcites →https://doi.org/10.1186/s40064-016-3175-4openalex-snapshot
Automated detection of glaucoma using structural and non structural features
inferredcites →https://doi.org/10.1371/journal.pone.0207982openalex-snapshot
A deep learning model for the detection of both advanced and early glaucoma using fundus photography
inferredcites →https://doi.org/10.3390/e17020669openalex-snapshot
Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4641829openalex-extracted
Regional Pv Power Prediction Based on Transfer Learning and Satellite Cloud Imagery
inferred← citeshttps://doi.org/10.1002/ima.22895openalex-snapshot
Three level automatic segmentation of optic disc using LAB color space contours and morphological operation
inferred← citeshttps://doi.org/10.1002/ima.23029openalex-snapshot
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model
inferred← citeshttps://doi.org/10.1007/978-981-96-2395-2_8openalex-snapshot
Leveraging Data Augmentation to Improve Deep Transfer Learning Models for Diabetic Retinopathy Severity Classification
inferred← citeshttps://doi.org/10.1007/s11042-024-18420-8openalex-snapshot
Improved machine learning-based glaucoma detection from fundus images using texture features in FAWT and LS-SVM classifier
inferred← citeshttps://doi.org/10.1007/s11042-024-19603-zopenalex-snapshot
A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images
inferred← citeshttps://doi.org/10.1007/s11042-026-21181-1openalex-snapshot
The role of deep learning-based algorithms in retinal image processing: a review
inferred← citeshttps://doi.org/10.1007/s11227-025-07103-2openalex-snapshot
An innovative approach to classify meniscus tears by reducing vision transformers features with elasticnet approach
inferred← citeshttps://doi.org/10.1007/s12194-026-01106-1openalex-snapshot
Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features
inferred← citeshttps://doi.org/10.1007/s13042-025-02571-7openalex-snapshot
Pyramid-KNet: Pyramid Kroneckernet-based lung cancer detection using computed tomography images
inferred← citeshttps://doi.org/10.1007/s13042-025-02791-xopenalex-snapshot
Early cardiovascular risk detection using gated attention GoogleNet + + and CT imaging
inferred← citeshttps://doi.org/10.1007/s13755-025-00371-5openalex-snapshot
Introduction of hierarchical deep features based on the VGG-16 model for enhancing diabetic retinopathy classification
inferred← citeshttps://doi.org/10.1007/s42979-025-04717-4openalex-snapshot
A Sequential Framework for Multi Class Grading of Diabetic Retinopathy Using Nelder-Mead Optimisation Algorithm and Evaluation with Adjusted Focal Loss
inferred← citeshttps://doi.org/10.1016/j.aej.2025.10.007openalex-snapshot
Boosted diagnostic accuracy in glaucoma detection with SqueezeNet-TR lite architecture and precise optic disc localization
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107832openalex-snapshot
Glaucoma diagnosis using Gabor and entropy coded Sine Cosine integration in adaptive partial swarm optimization-based FAWT
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107935openalex-snapshot
ODCS-NSNP: Optic disc and cup segmentation using deep networks enhanced by nonlinear spiking neural P systems
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109538openalex-snapshot
Glaucoma diagnosis from fundus images using modified Gauss-Kuzmin-distribution-based Gabor features in 2D-FAWT
inferred← citeshttps://doi.org/10.1016/j.jneuroim.2026.578869openalex-snapshot
Brain tumor detection using HyGSNet and feature extraction with DWT-based GDP
inferred← citeshttps://doi.org/10.1038/s41598-024-64150-0openalex-snapshot
Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques
inferred← citeshttps://doi.org/10.1038/s41598-024-76852-6openalex-snapshot
CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis
inferred← citeshttps://doi.org/10.1038/s41598-025-18742-zopenalex-snapshot
Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization
inferred← citeshttps://doi.org/10.1038/s41598-025-20629-yopenalex-snapshot
Medicinal plant leaf disease classification using optimal weighted features with dilated adaptive DenseNet and attention mechanism
inferred← citeshttps://doi.org/10.1038/s41598-025-34889-1openalex-snapshot
Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency
inferred← citeshttps://doi.org/10.1038/s41598-026-35540-3openalex-snapshot
Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening
inferred← citeshttps://doi.org/10.1080/0954898x.2024.2337801openalex-snapshot
Optimized deep learning network for plant leaf disease segmentation and multi-classification using leaf images
inferred← citeshttps://doi.org/10.1080/0954898x.2024.2346608openalex-snapshot
Effective prediction of human skin cancer using stacking based ensemble deep learning algorithm
inferred← citeshttps://doi.org/10.1080/0954898x.2024.2413849openalex-snapshot
Deep self-organizing map neural networks improve the segmentation for inadequate plantar pressure imaging data set
inferred← citeshttps://doi.org/10.1080/0954898x.2025.2476079openalex-snapshot
Hybrid fruit bee optimization algorithm-based deep convolution neural network for brain tumour classification using MRI images
inferred← citeshttps://doi.org/10.1109/access.2024.3426518openalex-snapshot
An Enhanced U-Network by Combining PPM and CBAM for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/aisummit66170.2025.11411338openalex-snapshot
CDR-Based Grading of Glaucoma Severity Using Segmentation and Classification on Retinal Fundus Images
inferred← citeshttps://doi.org/10.1109/i4c62240.2024.10748454openalex-snapshot
Transfer Learning with ResNet50 for Enhanced Mammographic Breast Cancer Identification
inferred← citeshttps://doi.org/10.1109/ihcsp63227.2024.10960090openalex-snapshot
Transformative Insights: Gabor Features and Tensor-EWT for COVID Diagnosis in Lung CT Images
inferred← citeshttps://doi.org/10.1109/ihcsp63227.2024.10960213openalex-snapshot
Enhancing Driver Safety through Convolutional Neural Networks for Drowsiness Detection
inferred← citeshttps://doi.org/10.1109/inista62901.2024.10683853openalex-snapshot
Haralick Feature-Based Deep Learning Model for Ankylosing Spondylitis Classification Using Magnetic Resonance Images
inferred← citeshttps://doi.org/10.1109/isacc65211.2025.10969253openalex-snapshot
Hybrid Feature Engineering and Sampling Strategies for Enhanced Diabetic Retinopathy Classification
inferred← citeshttps://doi.org/10.1109/sisimpact67725.2025.11439768openalex-snapshot
A Unique Discrete Wavelet and Deterministic Walk Approach for High-Precision Glaucoma Classification in Retinal Image Analysis
inferred← citeshttps://doi.org/10.1111/exsy.13607openalex-snapshot
Lung cancer computed tomography image classification using Attention based Capsule Network with dispersed dynamic routing
inferred← citeshttps://doi.org/10.1117/1.jei.34.2.023016openalex-snapshot
Integrating self-supervised learning with vision transformers for glaucoma detection
inferred← citeshttps://doi.org/10.1140/epjs/s11734-025-01842-2openalex-snapshot
Cascading GLCM and T-SNE for detecting tumor on kidney CT images with lightweight machine learning design
inferred← citeshttps://doi.org/10.1155/2024/8419540openalex-snapshot
Brain Tumor Detection and Classification Using IFF‐FLICM Segmentation and Optimized ELM Model
inferred← citeshttps://doi.org/10.1177/09287329241297887openalex-snapshot
Development and validation of machine learning algorithms for early detection of ankylosing spondylitis using magnetic resonance images
inferred← citeshttps://doi.org/10.1177/14604582261464215openalex-snapshot
A hybrid approach for diabetic retinopathy stages classification using spatial and textural features
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2630104/v1openalex-snapshot
Brain tumor magnetic resonance images enhanced by hybrid method based on deep learning paradigm
inferred← citeshttps://doi.org/10.32604/cmes.2025.068941openalex-snapshot
Active Learning-Enhanced Deep Ensemble Framework for Human Activity Recognition Using Spatio-Textural Features
inferred← citeshttps://doi.org/10.32604/csse.2023.036744openalex-snapshot
A Unique Discrete Wavelet & Deterministic Walk-Based Glaucoma Classification Approach Using Image-Specific Enhanced Retinal Images
inferred← citeshttps://doi.org/10.3389/fbioe.2023.1286966openalex-snapshot
Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification
inferred← citeshttps://doi.org/10.3390/info16070593openalex-snapshot
Hybrid Deep Learning Model for Improved Glaucoma Diagnostic Accuracy
inferred← citeshttps://doi.org/10.3390/jimaging11090321openalex-snapshot
Non-Invasive Retinal Pathology Assessment Using Haralick-Based Vascular Texture and Global Fundus Color Distribution Analysis
inferred← citeshttps://doi.org/10.54392/irjmt2529openalex-snapshot
Enhancing Glaucoma Detection in Fundus Images: A ResNet based Segmentation and Advanced ML Algorithms with Duck Pack Optimizer
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.