Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data
Abstract Background Single-cell multiplex imaging data have provided new insights into disease subtypes and prognoses recently. However, quantitative models that explicitly capture single-cell resolution cell-cell interaction features to predict patient survival at a population scale are currently m...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-12-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-023-00414-6 |