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Breast cancer: A hybrid method for feature selection and classification in digital mammography

https://doi.org/10.1002/ima.22889
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What this work says

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

inferredcites →https://doi.org/10.1002/ima.22468openalex-snapshot
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm
inferredcites →https://doi.org/10.1007/978-1-4615-5689-3openalex-snapshot
Feature Selection for Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1007/978-3-030-12127-3_4openalex-snapshot
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
inferredcites →https://doi.org/10.1007/978-94-011-5318-8_75openalex-snapshot
Current Status of the Digital Database for Screening Mammography
inferredcites →https://doi.org/10.1007/s00521-015-1920-1openalex-snapshot
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
inferredcites →https://doi.org/10.1007/s10115-017-1059-8openalex-snapshot
Recent advances in feature selection and its applications
inferredcites →https://doi.org/10.1007/s10489-018-1261-8openalex-snapshot
Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
inferredcites →https://doi.org/10.1007/s10916-010-9485-0openalex-snapshot
Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis
inferredcites →https://doi.org/10.1007/s11042-020-09991-3openalex-snapshot
Automatic computer-aided diagnosis system for mass detection and classification in mammography
inferredcites →https://doi.org/10.1007/s12652-020-02592-wopenalex-snapshot
RETRACTED ARTICLE: A novel optimal feature selection technique for medical data classification using ANOVA based whale optimization
inferredcites →https://doi.org/10.1007/s12652-020-02662-zopenalex-snapshot
A hybrid model using teaching–learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2016.04.012openalex-snapshot
Optimized Gabor features for mass classification in mammography
inferredcites →https://doi.org/10.1016/j.asoc.2017.11.006openalex-snapshot
Whale optimization approaches for wrapper feature selection
inferredcites →https://doi.org/10.1016/j.asoc.2019.105954openalex-snapshot
Hybrid whale optimization algorithm enhanced with Lévy flight and differential evolution for job shop scheduling problems
inferredcites →https://doi.org/10.1016/j.bbe.2017.10.005openalex-snapshot
Contralateral asymmetry for breast cancer detection: A CADx approach
inferredcites →https://doi.org/10.1016/j.bbe.2019.12.004openalex-snapshot
Simultaneous feature weighting and parameter determination of Neural Networks using Ant Lion Optimization for the classification of breast cancer
inferredcites →https://doi.org/10.1016/j.bbe.2022.09.001openalex-snapshot
Feature selection and classification in mammography using hybrid crow search algorithm with Harris hawks optimization
inferredcites →https://doi.org/10.1016/j.clinimag.2012.09.024openalex-snapshot
Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
inferredcites →https://doi.org/10.1016/j.cmpb.2016.04.029openalex-snapshot
Detection and classification of masses in mammographic images in a multi-kernel approach
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104968openalex-snapshot
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer
inferredcites →https://doi.org/10.1016/j.ejmp.2021.04.010openalex-snapshot
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
inferredcites →https://doi.org/10.1016/j.eswa.2010.03.056openalex-snapshot
Prognosis of prostate cancer by artificial neural networks
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.023openalex-snapshot
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.033openalex-snapshot
Memory based Hybrid Dragonfly Algorithm for numerical optimization problems
inferredcites →https://doi.org/10.1016/j.eswa.2017.05.035openalex-snapshot
Optimal breast cancer classification using Gauss–Newton representation based algorithm
inferredcites →https://doi.org/10.1016/j.irbm.2020.12.004openalex-snapshot
Automatic Detection and Classification of Mammograms Using Improved Extreme Learning Machine with Deep Learning
inferredcites →https://doi.org/10.1016/j.jfranklin.2006.09.003openalex-snapshot
A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs
inferredcites →https://doi.org/10.1016/j.jksuci.2018.01.004openalex-snapshot
Classification of masses in digital mammograms using Biogeography-based optimization technique
inferredcites →https://doi.org/10.1016/j.knosys.2020.106131openalex-snapshot
An improved Dragonfly Algorithm for feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2020.106553openalex-snapshot
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.053openalex-snapshot
Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
inferredcites →https://doi.org/10.1016/j.patcog.2005.07.006openalex-snapshot
Approaches for automated detection and classification of masses in mammograms
inferredcites →https://doi.org/10.1049/iet-cvi.2016.0244openalex-snapshot
Mammographic mass classification according to Bi‐RADS lexicon
inferredcites →https://doi.org/10.1056/nejmoa1206809openalex-snapshot
Effect of Three Decades of Screening Mammography on Breast-Cancer Incidence
inferredcites →https://doi.org/10.1080/0305215x.2019.1624740openalex-snapshot
New binary whale optimization algorithm for discrete optimization problems
inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot
ANFIS: adaptive-network-based fuzzy inference system
inferredcites →https://doi.org/10.1109/42.921479openalex-snapshot
Computerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networks
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/access.2020.3012838openalex-snapshot
A Hybrid Improved Dragonfly Algorithm for Feature Selection
inferredcites →https://doi.org/10.1109/ictcs.2017.43openalex-snapshot
Binary Dragonfly Algorithm for Feature Selection
inferredcites →https://doi.org/10.1109/iembs.1997.757658openalex-snapshot
A method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm
inferredcites →https://doi.org/10.1109/jsyst.2013.2286539openalex-snapshot
Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method
inferredcites →https://doi.org/10.1109/nssmic.2004.1462616openalex-snapshot
The MAGIC-5 project: medical applications on a grid infrastructure connection
inferredcites →https://doi.org/10.1109/rbme.2012.2232289openalex-snapshot
Computer-Aided Breast Cancer Detection Using Mammograms: A Review
inferredcites →https://doi.org/10.1109/tkde.2005.66openalex-snapshot
Toward integrating feature selection algorithms for classification and clustering
inferredcites →https://doi.org/10.1111/coin.12397openalex-snapshot
A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: Case study Email spam detection
inferredcites →https://doi.org/10.1126/science.3287615openalex-snapshot
Measuring the Accuracy of Diagnostic Systems
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/37401.37406openalex-snapshot
Flocks, herds and schools: A distributed behavioral model
inferredcites →https://doi.org/10.1186/s13058-015-0525-zopenalex-snapshot
Benefits and harms of mammography screening
inferredcites →https://doi.org/10.20943/ijcsi-201602-3641openalex-snapshot
GA-based Feature Selection with ANFIS Approach to Breast Cancer Recurrence
inferredcites →https://doi.org/10.2307/2529310openalex-snapshot
The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.3322/caac.21660openalex-snapshot
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

What points at this work

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

inferred← citeshttps://doi.org/10.1002/ima.70117openalex-snapshot
Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1007/s00432-023-05319-4openalex-snapshot
DI-UNet: dual-branch interactive U-Net for skin cancer image segmentation
inferred← citeshttps://doi.org/10.1007/s11042-023-17044-8openalex-snapshot
Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system
inferred← citeshttps://doi.org/10.1007/s11042-024-18473-9openalex-snapshot
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
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/s11042-024-19620-yopenalex-snapshot
Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
inferred← citeshttps://doi.org/10.1007/s11042-024-19629-3openalex-snapshot
Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis
inferred← citeshttps://doi.org/10.1007/s42979-025-04170-3openalex-snapshot
Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113713openalex-snapshot
A feature selection framework using an elitist quasi-opposition self-adaptive partial reinforcement optimization algorithm for breast cancer detection in mammograms
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106268openalex-snapshot
Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage identification
inferred← citeshttps://doi.org/10.1016/j.ceh.2025.08.001openalex-snapshot
Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.111268openalex-snapshot
Monte Carlo Tree Search for optimal cancer intervention strategies among BRCA mutation carriers
inferred← citeshttps://doi.org/10.1016/j.hcc.2025.100378openalex-snapshot
A robust logistic regression approach enhanced by hyperparameter optimization techniques through swarm intelligence and genetic algorithms: Advancing cancer diagnosis
inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100275openalex-snapshot
Machine learning prediction of histological types of breast cancer: a case study in Morocco
inferred← citeshttps://doi.org/10.1016/j.jestch.2026.102301openalex-snapshot
A novel triangular geometry-based automatic pectoral muscle removal approach for breast cancer detection and classification
inferred← citeshttps://doi.org/10.1016/j.jnlest.2025.100315openalex-snapshot
Efficient feature selection based on Gower distance for breast cancer diagnosis
inferred← citeshttps://doi.org/10.1016/j.matcom.2025.03.025openalex-snapshot
Prediction of breast cancer using metaheuristic-driven ensemble learning: A novel classification approach
inferred← citeshttps://doi.org/10.1038/s41598-025-17835-zopenalex-snapshot
Non-invasive detection of choroidal melanoma via tear-derived protein corona on gold nanoparticles: a machine learning approach
inferred← citeshttps://doi.org/10.1038/s41598-025-32343-wopenalex-snapshot
Non-invasive anemia detection from conjunctiva and sclera images using vision transformer with attention map explainability
inferred← citeshttps://doi.org/10.1038/s41598-026-44364-0openalex-snapshot
Soft smooth contrastive learning with hybrid memory for unsupervised visible-infrared person re-identification
inferred← citeshttps://doi.org/10.1080/03610918.2026.2621023openalex-snapshot
DETDO: double exponential smoothing-Tasmanian devil optimization-based data routing algorithm for breast cancer detection
inferred← citeshttps://doi.org/10.1080/03772063.2025.2498610openalex-snapshot
Facial Expression Analysis for Efficient Disease Classification in Sheep Using a 3NM-CTA and LIFA-Based Framework
inferred← citeshttps://doi.org/10.1080/10255842.2025.2553347openalex-snapshot
A novel approach for enhanced early breast cancer detection
inferred← citeshttps://doi.org/10.1109/aaiml67890.2026.11498079openalex-snapshot
Treating the Image as a System: A Hybrid Signal-AI Approach to Mammogram Analysis
inferred← citeshttps://doi.org/10.1177/20552076241309947openalex-snapshot
Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5677244/v1openalex-snapshot
Performance Analysis of Machine Learning Models with Optimized Feature Selection Techniques for Darknet Traffic Classification
inferred← citeshttps://doi.org/10.4015/s1016237225300032openalex-snapshot
MACHINE LEARNING-BASED MICROCALCIFICATION DETECTION FROM MAMMOGRAMS: FORMER TECHNIQUES AND CHALLENGES, FUTURE RESEARCH TRENDS
inferred← citeshttps://doi.org/10.4015/s1016237225500267openalex-snapshot
AN EFFICIENT MODEL OF ENHANCED OPTIMIZATION AND ATTENTION-BASED GCNN WITH GRU FOR NAIL DISEASE DETECTION AND CLASSIFICATION FRAMEWORK
inferred← citeshttps://doi.org/10.48084/etasr.10900openalex-snapshot
Enhancing Breast Cancer Classification based on BPSO Feature Selection and Machine Learning Techniques
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