AINeutralarXiv – CS AI · 8h ago6/10
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Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation
CardiacNAS presents an evolutionary neural architecture search framework that optimizes cardiac MRI segmentation models for both accuracy and computational efficiency. The approach achieves 93.22% dice similarity with only 3.58M parameters, demonstrating how resource-aware AI design can enable deployment of medical imaging models on resource-constrained environments.