Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.

Background: Hybrid imaging became an instrumental part of medical imaging, particularly cancer imaging processes in clinical routine. To date, several radiomic and machine learning studies investigated the feasibility of in vivo tumor characterization with variable outcomes. This study aims to inves...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 6; pp. 1607 - 1621
Main Authors:	Grahovac, M., Spielvogel, C. P., Krajnc, D., Ecsedi, B., Traub-Weidinger, T., Rasul, S., Kluge, K., Zhao, M., Li, X., Hacker, M., Haug, A., Papp, Laszlo
Format:	Journal Article
Published:	Springer Nature May2023
Online Access:	View this record in EBSCOhost