Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer.
Changhee LeeAlexander LightEvgeny S. SavelievMihaela van der SchaarVincent J. GnanapragasamPublished in: npj Digit. Medicine (2022)
Keyphrases
- machine learning algorithms
- prostate cancer
- benchmark data sets
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- random forests
- computer aided
- learning problems
- disease progression
- mr images
- machine learning models
- machine learning approaches
- image guided
- data sets
- magnetic resonance spectroscopy
- deformable registration
- learning models
- real world
- medical image analysis