Abstract No. 32 ▪ FEATURED ABSTRACT Predicting tumor grade and mutation status of pancreatic neuroendocrine liver metastases using computed tomography radiomic features.

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Abstrakt

Tytuł:: Abstract No. 32 ▪ FEATURED ABSTRACT Predicting tumor grade and mutation status of pancreatic neuroendocrine liver metastases using computed tomography radiomic features.
Autorzy:: Hoang, R.
Elsakka, A.
Yarmohammadi, H.
Erinjeri, J.
Boas, F.
Solomon, S.
Raj, N.
Reidy-Lagunes, D.
Gonzalez Aguirre, A.
Ziv, E.
Źródło:: Journal of Vascular & Interventional Radiology; 2021 Supplement, Vol. 32 Issue 5, pS15-S15, 1p
: Czasopismo naukowe

Abstract No. 32 FEATURED ABSTRACT Predicting tumor grade and mutation status of pancreatic neuroendocrine liver metastases using computed tomography radiomic features. [Extracted from the article]
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