Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images.
Zhe MinFernando J. BiancoQianye YangRachael RodellWen YanDean C. BarrattYipeng HuPublished in: MIUA (2021)
Keyphrases
- prostate cancer
- cancer detection
- mr images
- deep learning
- false positives
- true positive
- magnetic resonance
- false negative
- medical images
- manual segmentation
- magnetic resonance images
- prostate segmentation
- unsupervised learning
- radiation therapy
- mr imaging
- image data
- machine learning
- receiver operating characteristic
- roc curve
- pattern recognition
- dice similarity coefficient
- deformable models
- semi supervised
- classification accuracy
- computer vision