NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images

Understanding the spatial interactions between the elements of the tumor microenvironment -i.e. tumor cells. fibroblasts, immune cells- and how these interactions relate to the diagnosis or prognosis of a tumor is one of the goals of computational pathology. We present NaroNet, a deep learning frame...

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Detalles Bibliográficos
Autores principales: Jiménez-Sánchez, Daniel, Ariz, Mikel, Chang, Hang, Matias-Guiu, Xavier, de Andrea, Carlos E., Ortiz-de-Solórzano, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972483/
https://www.ncbi.nlm.nih.gov/pubmed/35217454
http://dx.doi.org/10.1016/j.media.2022.102384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972483/
https://www.ncbi.nlm.nih.gov/pubmed/35217454
http://dx.doi.org/10.1016/j.media.2022.102384

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