Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors

Authors

Toshiyuki Okada, Osaka University
Marius George Linguraru, George Washington UniversityFollow
Masatoshi Hori, Osaka University
Ronald M. Summers, National Institutes of HealthFollow
Noriyuki Tomiyama, Osaka University
Yoshinobu Sato, Osaka UniversityFollow

Document Type

Journal Article

Publication Date

2013

Journal

Medical Image Computing and Computer-Assisted Intervention

Volume

Volume 16, Issue 3

Inclusive Pages

275-282

Keywords

Artificial Intelligence; Pattern Recognition, Automated--methods; Radiographic Image Interpretation, Computer-Assisted--methods; Radiography, Abdominal--methods; Subtraction Technique; Tomography, X-Ray Computed--methods; Viscera--radiography

APA Citation

Okada, T., Linguraru, M.G., Hori, M., Summers, R.M., Tomiyama, N. et al. (2013). Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors. Medical Image Computing and Computer-Assisted Intervention, 16(3), 275-282.