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...

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Detalles Bibliográficos
Autores principales: Padwal, Mahesh Kumar, Basu, Sandip, Basu, Bhakti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605255/
https://www.ncbi.nlm.nih.gov/pubmed/37887568
http://dx.doi.org/10.3390/curroncol30100668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605255/
https://www.ncbi.nlm.nih.gov/pubmed/37887568
http://dx.doi.org/10.3390/curroncol30100668

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