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A Hybrid Particle Swarm--Genetic Algorithm Framework for U-Net Hyperparameter Optimization in High-Precision Brain Tumor MRI Segmentation

2026-03-06

Abstract excerpt

Accurate and robust brain tumor segmentation remains a critical challenge in medical image analysis due to high inter-patient variability, complex tumor morphology, and modality-specific noise in MRI scans. This study proposes PSO-GA-U-Net, a novel hybrid deep learning framework that integrates Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) to optimize the U-Net architecture for enhanced segmentatio...

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Literature Corpus work: d235ea6f-94b2-56d4-9ae0-ca49b4145a71
DOI: 10.20944/preprints202603.0466.v1

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