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]
- Journal of magnetic resonance imaging : JMRI Aug 2014
- 301-5 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1522-2586
10.1002/jmri.24375 doi
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