Unsupervised learning-based dual-domain method for low-dose CT denoising
J Yu, H Zhang, P Zhang, Y Zhu - Physics in Medicine & Biology, 2023 - iopscience.iop.org
Objective. Low-dose CT (LDCT) is an important research topic in the field of CT imaging
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
Unsupervised learning-based dual-domain method for low-dose CT denoising
J Yu, H Zhang, P Zhang, Y Zhu - Physics in medicine …, 2023 - pubmed.ncbi.nlm.nih.gov
Objective. Low-dose CT (LDCT) is an important research topic in the field of CT imaging
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
Unsupervised learning-based dual-domain method for low-dose CT denoising
J Yu, H Zhang, P Zhang, Y Zhu - Physics in Medicine and …, 2023 - ui.adsabs.harvard.edu
Objective. Low-dose CT (LDCT) is an important research topic in the field of CT imaging
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
Unsupervised learning-based dual-domain method for low-dose CT denoising.
J Yu, H Zhang, P Zhang, Y Zhu - Physics in Medicine and Biology, 2023 - europepmc.org
Objective. Low-dose CT (LDCT) is an important research topic in the field of CT imaging
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …
because of its ability to reduce radiation damage in clinical diagnosis. In recent years, deep …