An MLP with log-transformed spectral derivative features identifies 10 materials from PCCT ROI spectra with 97.45% macro F1 under slice-level group splitting.
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Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features
An MLP with log-transformed spectral derivative features identifies 10 materials from PCCT ROI spectra with 97.45% macro F1 under slice-level group splitting.