Pilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features. [electronic resource]
Producer: 20150610Description: 301-5 p. digitalISSN:- 1522-2586
- Aged
- Algorithms
- Artificial Intelligence
- Diffusion Magnetic Resonance Imaging -- methods
- Humans
- Image Enhancement -- methods
- Image Interpretation, Computer-Assisted -- methods
- Male
- Middle Aged
- Pattern Recognition, Automated -- methods
- Pilot Projects
- Prostatic Neoplasms -- pathology
- Reproducibility of Results
- Sensitivity and Specificity
- Software
- Software Validation
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Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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