Riccardo Ferretti

Instance-Specific Denoising: A Hybrid Acquisition Framework for Deep Learning in Low-Dose Computed Tomography

We propose an innovative approach to low-dose computed tomography that combines a hybrid acquisition protocol with a deep convolutional neural network. Our protocol interleaves sparse, uniformly spaced high-exposure projections with dense low-exposure projections. This strategy provides object-specific training data in...