Predicting the Response to Chemoradiotherapy in Rectal Cancer Patients Using Bayesian Evolutionary Random Forest and Three-Dimensional Discrete Fourier Transform.
Camille RaetsChaïmae El AisatiAmir L. RifiKurt BarbéMark De RidderPublished in: MeMeA (2023)
Keyphrases
- cancer patients
- random forest
- discrete fourier transform
- cancer classification
- three dimensional
- fourier transform
- frequency domain
- prostate cancer
- breast cancer
- clinical data
- decision trees
- feature set
- treatment plan
- clinical trials
- radon transform
- discrete cosine transform
- fold cross validation
- ensemble methods
- multi label
- base classifiers
- x ray
- treatment planning
- multiscale
- image classification
- bayesian networks
- multi class
- image analysis
- feature extraction
- feature selection