Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology

We introduce here a novel machine learning (ML) framework to address the issue of the quantitative assessment of the immune content in neuroblastoma (NB) specimens. First, the EUNet, a U-Net with an EfficientNet encoder, is trained to detect lymphocytes on tissue digital slides stained with the CD3...

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Detalles Bibliográficos
Autores principales: Bussola, Nicole, Papa, Bruno, Melaiu, Ombretta, Castellano, Aurora, Fruci, Doriana, Jurman, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396341/
https://www.ncbi.nlm.nih.gov/pubmed/34445517
http://dx.doi.org/10.3390/ijms22168804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396341/
https://www.ncbi.nlm.nih.gov/pubmed/34445517
http://dx.doi.org/10.3390/ijms22168804

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