Conclusions
In conclusion, we have presented two novel feature selection strategies for use with radiomics studies and demonstrated that their combined use yields models with equivalent performance to a widely used pipeline. The proposed strategies also lead to models with fewer features meaning model interpretation is more straightforward across a range of eleven molecular, histopathological and clinical targets. In addition, use of image sub-segmentations has been assessed, and preliminary analysis found improvements to classification model performance and interpretability for a subset of the targets.