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...
- 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