Identifying optimal input using multilevel radiomics and nested cross-validation for predicting pulmonary function in lung cancer patients treated with radiotherapy.
Sang Ho LeePeijin HanRussell K. HalesK. Ranh VoongTodd R. McNuttJunghoon LeePublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- cross validation
- lung cancer
- cross validated
- lung cancer patients
- model selection
- support vector
- generalization error
- cancer diagnosis
- regularization parameter
- pet ct
- variable selection
- image guided
- training set
- automatic segmentation
- lymph nodes
- data sets
- feature subset
- image processing
- feature selection
- machine learning
- data mining