A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images. [electronic resource]
- Medical image analysis Aug 2013
- 587-600 p. digital
Publication Type: Journal Article
1361-8423
10.1016/j.media.2013.04.001 doi
Algorithms Artificial Intelligence Data Interpretation, Statistical Humans Image Enhancement--methods Image Interpretation, Computer-Assisted--methods Male Pattern Recognition, Automated--methods Prostate--diagnostic imaging Prostatic Neoplasms--pathology Reproducibility of Results Sensitivity and Specificity Ultrasonography--methods