Neural scaling laws fitted to subset performance on CAMUS and CEUS echocardiography datasets enable selection of smaller networks achieving state-of-the-art myocardial segmentation with 240-fold parameter reduction and clinical equivalence to expert cardiologists in perfusion quantification.
Medical Image Segmentation Review: The success of U-Net, November 2022
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Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws
Neural scaling laws fitted to subset performance on CAMUS and CEUS echocardiography datasets enable selection of smaller networks achieving state-of-the-art myocardial segmentation with 240-fold parameter reduction and clinical equivalence to expert cardiologists in perfusion quantification.