Article

Hybrid Metaheuristic Feature Selection for Enhanced Breast Cancer Detection in Digital Mammography: A Radiomics and Deep Learning Approach with Cross-Dataset Validation

2026-04-03

Abstract excerpt

<title>Abstract</title> <p>Background Artificial intelligence (AI) shows promise for improving breast cancer detection in mammography, but generalizability across datasets and imaging conditions remains a major challenge. We developed a hybrid metaheuristic feature-selection framework that combines radiomics and deep learning features and evaluated it on a real pilot dataset and a controlled synthetic comparison...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8024d65f-a731-51b3-804b-ac426f2474b9
DOI: 10.21203/rs.3.rs-9239930/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hybrid Metaheuristic Feature Selection for Enhanced Breast Cancer Detection in Digital Mammography: A Radiomics and Deep Learning Approach with Cross-Dataset ValidationDOI 10.21203/rs.3.rs-9239930/v1Read

A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer DetectionSemantic proximity Read

Thermal Image based Non Invasive Disease Diagnosis using Nature Inspired AlgorithmsSemantic proximity Read

Interpretable Hybrid Metaheuristic Optimization with Iteration-Level Behavior Analysis for Clinical Feature Selection in Heart Disease PredictionSemantic proximity Read

Heap Based Optimizer Algorithm for Solving Feature Selection Problems in High-Dimensional Cancer Microarray DataSemantic proximity Read

18F-FDG PET/CT-Based Deep Radiomic Models for Enhancing Chemotherapy Response Prediction in Breast CancerSemantic proximity Read

A Hybrid Advanced Machine Learning Stacked Model with Genetic Weighting for Accurate Breast Lesion Classification on Ultrasound ImagingSemantic proximity Read

Sensitivity-Constrained Evolutionary Feature Selection for Imbalanced Medical Classification: A Case Study on Rotator Cuff Tear Surgery PredictionSemantic proximity Read

Improving breast cancer diagnostics with artificial intelligence for MRISemantic proximity Read

Multi-Objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection using Medical Image DataSemantic proximity Read

Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based OptimizersSemantic proximity Read

A Novel Framework to Classify Cancer through a Consecutive Utilization of Hybrid Feature Selection and Deep LearningSemantic proximity Read

Automated HER2 scoring in breast cancer HE-stained images using hybrid deep learning ensemble and probabilistic optimizationSemantic proximity Read