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...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 6; pp. 1607 - 1621 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |