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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119059/
https://www.ncbi.nlm.nih.gov/pubmed/36738311
http://dx.doi.org/10.1007/s00259-023-06127-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119059/
https://www.ncbi.nlm.nih.gov/pubmed/36738311
http://dx.doi.org/10.1007/s00259-023-06127-1

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