Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy

BACKGROUND: To explore the prognostic value and the role for treatment decision of pathological microscopic features in patients with nasopharyngeal carcinoma (NPC) using the method of deep learning. METHODS: The pathological microscopic features were extracted using the software QuPath (version 0.1...

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Detalles Bibliográficos
Autores principales: Liu, Kuiyuan, Xia, Weixiong, Qiang, Mengyun, Chen, Xi, Liu, Jia, Guo, Xiang, Lv, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013063/
https://www.ncbi.nlm.nih.gov/pubmed/31860791
http://dx.doi.org/10.1002/cam4.2802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013063/
https://www.ncbi.nlm.nih.gov/pubmed/31860791
http://dx.doi.org/10.1002/cam4.2802

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