A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images

SIMPLE SUMMARY: Tumor tissues sampled from patients contain prognostic and predictive information beyond what is currently being used in clinical practice. Large-scale digitization enables new ways of exploiting this information. The most promising analysis pipelines include deep learning/artificial...

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Detalles Bibliográficos
Autores principales: Shvetsov, Nikita, Grønnesby, Morten, Pedersen, Edvard, Møllersen, Kajsa, Busund, Lill-Tove Rasmussen, Schwienbacher, Ruth, Bongo, Lars Ailo, Kilvaer, Thomas Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221016/
https://www.ncbi.nlm.nih.gov/pubmed/35740648
http://dx.doi.org/10.3390/cancers14122974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221016/
https://www.ncbi.nlm.nih.gov/pubmed/35740648
http://dx.doi.org/10.3390/cancers14122974

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