"A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT ..."

Byeongjoon Kim et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2022.3198948

access: open

type: Journal Article

metadata version: 2022-09-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/KimDPB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/KimDPB22
Byeongjoon Kim, Sarah E. Divel, Norbert J. Pelc, Jongduk Baek:
A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique. IEEE Access 10: 86395-86407 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.