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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |