Abstract: Deep learning has emerged as a prominent technique in the field of holographic imaging, owing to its rapidity and high performance. Prevailing deep neural networks employed for holographic ...
Abstract: Quantitative ultrasound (QUS) holds promise in enhancing diagnostic accuracy. For attenuation imaging, the regularized spectral log difference (RSLD) can generate accurate local attenuation ...
TL;DR: Autoencoder architectures possess strong implicit causal bias, achieving 82-86% accuracy on 99% spurious correlations before explicit regularization. We establish clear boundary conditions for ...
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