Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy.
Eugenia MylonaClement LebretonPierre FontaineStéphane SupiotNicolas MagneGilles CréhangeRenaud de CrevoisierOscar AcostaPublished in: BIBE (2019)
Keyphrases
- prostate cancer
- machine learning algorithms
- benchmark data sets
- prognostic models
- machine learning
- learning algorithm
- computer aided
- decision trees
- machine learning methods
- random forests
- image guided
- standard machine learning algorithms
- machine learning approaches
- mr images
- deformable registration
- prediction accuracy
- radiation therapy
- machine learning models
- cancer patients
- medical image analysis
- support vector
- normal tissue