Benchmarking Feature Selection Methods in Radiomics

Conclusion Our results indicated that simpler methods are more stable than complex ones and do not perform worse in terms of area under the receiver operating characteristic curve. Analysis of variance, least absolute shrinkage and selection operator, and minimum redundancy, maximum relevance ensemble appear to be good choices for radiomic studies in terms of predictive performance, as they outperformed most other feature selection methods.
Source: Investigative Radiology - Category: Radiology Tags: Original Articles Source Type: research