Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
David HoarPeter Q. LeeAlessandro GuidaSteven PattersonChris V. BowenJennifer MerrimenCheng WangRicardo RendonSteven D. BeyeaSharon E. ClarkePublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- mr images
- prostate cancer
- transfer learning
- magnetic resonance
- medical images
- magnetic resonance images
- labeled data
- machine learning
- prostate segmentation
- active learning
- image data
- reinforcement learning
- text categorization
- text classification
- semi supervised learning
- brain tumors
- radiation therapy
- superpixels
- deformable models
- learning algorithm
- data sets
- text mining
- training data
- feature vectors
- unlabeled data
- d objects