S(3)-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue

The spatial organization of various cell types within the tissue microenvironment is a key element for the formation of physiological and pathological processes, including cancer and autoimmune diseases. Here, we present S(3)-CIMA, a weakly supervised convolutional neural network model that enables...

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Detalles Bibliográficos
Autores principales: Babaei, Sepideh, Christ, Jonathan, Sehra, Vivek, Makky, Ahmad, Zidane, Mohammed, Wistuba-Hamprecht, Kilian, Schürch, Christian, Claassen, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500029/
https://www.ncbi.nlm.nih.gov/pubmed/37720335
http://dx.doi.org/10.1016/j.patter.2023.100829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500029/
https://www.ncbi.nlm.nih.gov/pubmed/37720335
http://dx.doi.org/10.1016/j.patter.2023.100829

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