Machine learning based multi‐label classification of single or mixed‐composition urinary stones in in vivo spectral CT

The parameters extracted from the ESA on spectral CT can be utilized to characterize single or mixed stone compositions via multi-label classification modeling. The generalization capability of the proposed methodology still requires further verification.