Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine.
Paulo LapaIvo GonçalvesLeonardo RundoMauro CastelliPublished in: GECCO (Companion) (2019)
Keyphrases
- magnetic resonance images
- cancer detection
- learning machines
- mr images
- pattern recognition
- feature extraction
- prostate cancer
- support vector
- support vector machine
- medical images
- convolutional neural networks
- feature space
- text classification
- benchmark datasets
- feature vectors
- machine learning
- data mining
- upper bound
- class labels
- active learning
- medical imaging
- decision trees