Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer

SIMPLE SUMMARY: The High Throughput Truthing project aims to develop a dataset of stromal tumor-infiltrating lymphocytes (sTILs) density evaluations in hematoxylin and eosin-stained invasive breast cancer specimens fit for a regulatory purpose. After completion of the pilot study, the analysis demon...

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Detalles Bibliográficos
Autores principales: Garcia, Victor, Elfer, Katherine, Peeters, Dieter J. E., Ehinger, Anna, Werness, Bruce, Ly, Amy, Li, Xiaoxian, Hanna, Matthew G., Blenman, Kim R. M., Salgado, Roberto, Gallas, Brandon D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139395/
https://www.ncbi.nlm.nih.gov/pubmed/35626070
http://dx.doi.org/10.3390/cancers14102467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139395/
https://www.ncbi.nlm.nih.gov/pubmed/35626070
http://dx.doi.org/10.3390/cancers14102467

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