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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: Quantitative ultrasound (QUS) holds promise in enhancing diagnostic accuracy. For attenuation imaging, the regularized spectral log difference (RSLD) can generate accurate local attenuation ...