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Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

Nils Große HokampSimon LennartzJohannes SalemDaniel Pinto Dos SantosAxel HeidenreichDavid MaintzStefan Haneder
Published in: European radiology (2019)
• Spectral Detector Dual Energy CT and Machine Learning allow for an accurate prediction of stone composition. • Ex-vivo study demonstrates the dose independent assessment of pure and compound stones. • Lowest accuracy is reported for compound stones with struvite as main component.
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