Low‐dose CT denoising via convolutional neural network with an observer loss function

M Han, H Shim, J Baek - Medical physics, 2021 - Wiley Online Library
Purpose: Convolutional neural network (CNN)‐based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …
被引用次数：29 相关文章

Low-dose CT denoising via convolutional neural network with an observer loss function

M Han, H Shim, J Baek - MEDICAL PHYSICS, 2021 - koasas.kaist.ac.kr
Purpose: Convolutional neural network (CNN)-based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …

Low‑dose CT denoising via convolutional neural network with an observer loss function

M Han, H Shim, J Baek - Medical Physics, 2021 - ui.adsabs.harvard.edu
Purpose: Convolutional neural network (CNN)‑based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …

Low-dose CT denoising via convolutional neural network with an observer loss function

M Han, H Shim, J Baek - Medical physics, 2021 - pubmed.ncbi.nlm.nih.gov
Purpose Convolutional neural network (CNN)-based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …

Low-dose CT denoising via convolutional neural network with an observer loss function.

M Han, H Shim, J Baek - Medical Physics, 2021 - europepmc.org
Purpose Convolutional neural network (CNN)-based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …

Low-dose CT denoising via convolutional neural network with an observer loss function

M Han, H Shim, J Baek - Medical physics, 2021 - yonsei.elsevierpure.com
Purpose: Convolutional neural network (CNN)-based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …