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Learning-based Framework for US Signals Super-resolution
We qualitatively and quantitatively test our model on different anatomical districts (e. g., cardiac, obstetric) images and with different up-sampling resolutions (i. e., 2X, 4X).
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
We define a novel deep learning framework for the real-time denoising of ultrasound images.
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