"Bayesian Segmentation of Hip and Thigh Muscles in Metal ..."

Mitsuki Sakamoto et al. (2020)

> Home

Details and statistics

DOI: 10.1007/S11265-019-01507-Z

access: closed

type: Journal Article

metadata version: 2025-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/vlsisp/SakamotoHOTSSS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/vlsisp/SakamotoHOTSSS20
Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato:
Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. J. Signal Process. Syst. 92(3): 335-344 (2020)

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.