Fig 8.

Receiver operating characteristic (ROC) curves for the explored material classification algorithms for global and material boundary pixels within the water-PLA phantoms. A) ROC curves for all pixels within the 4 phantoms (global). Cross-correlation (CC) and least-squares unmixing (LS) have near identical performance, while support vector machine (SVM) and shallow neural network (SNN) improve performance. B) ROC curves generated from pixels within 3 mm of water-PLA boundaries for all four phantoms.