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StyleX: A Trainable Metric for X-ray Style Distances
The progression of X-ray technology introduces diverse image styles that need to be adapted to the preferences of radiologists.
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation
In this study, we propose a deep learning method based on Convolutional Neural Networks (CNNs) for mammogram denoising to improve the image quality.
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