Machine Learning Models to Predict Primary Sites of Metastatic Cervical Carcinoma From Unknown Primary

Metastatic cervical carcinoma from unknown primary (MCCUP) accounts for 1–4% of all head and neck tumors, and identifying the primary site in MCCUP is challenging. The most common histopathological type of MCCUP is squamous cell carcinoma (SCC), and it remains difficult to identify the primary site...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Di, Jiang, Jianjun, Liu, Xiguang, Wang, He, Feng, Siyang, Shi, Xiaoshun, Wang, Zhizhi, Chen, Zhiming, Yan, Xuebin, Wu, Hua, Cai, Kaican
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779672/
https://www.ncbi.nlm.nih.gov/pubmed/33408743
http://dx.doi.org/10.3389/fgene.2020.614823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779672/
https://www.ncbi.nlm.nih.gov/pubmed/33408743
http://dx.doi.org/10.3389/fgene.2020.614823

Ejemplares similares