Predicting patient outcome in lung cancer by a cluster analysis of lymphocyte population

A number of papers have established that a high density of tumor-infiltrating lymphocytes (TILs) is highly correlated with a better prognosis for many different cancer types. Recently, some studies have shown that the spatial interplay between different subtypes of TILs (e.g. CD3, CD4, CD8) is more...

Full description

Autores:
Barrera Monje, Cristian Raul
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/69536
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/69536
http://bdigital.unal.edu.co/71420/
Palabra clave:
61 Ciencias médicas; Medicina / Medicine and health
Digital pathology
Lung cancer
Lymphocyte analysis
Patología digital
Cáncer de pulmón
Análisis de linfocitos
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional