An investigation of machine learning methods in delta-radiomics feature analysis.
Journal:
PloS one
Published Date:
Dec 13, 2019
Abstract
PURPOSE: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and to investigate the effectiveness of machine learning methods for delta-radiomics feature selection and building classification models.