Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.
Document Type
Journal Article
Publication Date
7-4-2015
Journal
Medical Image Analysis
Volume
26
Issue
1
Inclusive Pages
1-18
DOI
10.1016/j.media.2015.06.009
Keywords
Pattern Recognition, Automated--methods; Radiographic Image Interpretation, Computer-Assisted--methods; Radiography, Abdominal--methods; Tomography, X-Ray Computed--methods; Unsupervised Machine Learning; Viscera--radiography
APA Citation
Kada, T., Linguraru, M. G., Hori, M., Summers, R. M., Tomiyama, N., & Sato, Y. (2015). Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. Medical Image Analysis, 26(1), 1-18.
Peer Reviewed
1
COinS