A Decision-Support Tool for Renal Mass Classification.
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevant metrics of the renal mass were extracted from mu...
| Publicado en: | Journal of Digital Imaging Vol. 31; no. 6; pp. 929 - 940 |
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| Autores principales: | , , , , , , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |