A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images. [electronic resource]
Producer: 20140108Description: 587-600 p. digitalISSN:- 1361-8423
- 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
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Publication Type: Journal Article
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