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LDCT in COVID-19 Pneumonia: a Prospective Moscow Study
LDCT in COVID-19 Pneumonia: a Prospective Moscow Study
PulseAugur coverage of LDCT in COVID-19 Pneumonia: a Prospective Moscow Study — every cluster mentioning LDCT in COVID-19 Pneumonia: a Prospective Moscow Study across labs, papers, and developer communities, ranked by signal.
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Noise2Match: Self-supervised CT denoising method unveiled
Researchers have developed Noise2Match, a novel self-supervised method for denoising low-dose computed tomography (CT) images. Unlike previous methods that struggle with correlated noise or inter-slice misalignment, Noi…
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New DeVAR framework uses visual autoregressive modeling for CT denoising
Researchers have introduced DeVAR, a novel generative framework for low-dose CT (LDCT) denoising that utilizes visual autoregressive modeling. This approach conditions the generation of normal-dose CT (NDCT) images on g…