Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Patient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast epithelium. However, data analysis generated with such models is often confounded by...

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Detalles Bibliográficos
Autores principales: Juppet, Quentin, De Martino, Fabio, Marcandalli, Elodie, Weigert, Martin, Burri, Olivier, Unser, Michael, Brisken, Cathrin, Sage, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236058/
https://www.ncbi.nlm.nih.gov/pubmed/33999331
http://dx.doi.org/10.1007/s10911-021-09485-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236058/
https://www.ncbi.nlm.nih.gov/pubmed/33999331
http://dx.doi.org/10.1007/s10911-021-09485-4

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