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: CoRR (2021)
Keyphrases
- prostate cancer
- cancer detection
- mr images
- deep learning
- false positives
- true positive
- magnetic resonance
- false negative
- magnetic resonance images
- medical images
- unsupervised learning
- manual segmentation
- prostate segmentation
- machine learning
- mr imaging
- image data
- radiation therapy
- roc curve
- receiver operating characteristic
- dice similarity coefficient
- image processing
- medical imaging
- dimensionality reduction
- information extraction
- classification accuracy
- feature extraction