Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) account for 80% of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). GEP-NETs are well-differentiated tumors, highly heterogeneous in biology and origin, and are often diagnosed at the metastatic stage. Diagnosis is commonly through c...
| Publicado en: | Current Oncology Vol. 30; no. 10; pp. 9244 - 9262 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
MDPI
Oct2023
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| Acceso en línea: | Ver este registro en EBSCOhost |