HRD-related morphology discovery in breast cancer by controlling for confounding factors
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| Publication date | 20-12-2022 |
| Journal | Cell Reports Medicine |
| Article number | 100873 |
| Volume | Issue number | 3 | 12 |
| Number of pages | 3 |
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| Abstract | Lazard et al. predict homologous recombination deficiency from hematoxylin and eosin-stained slides of breast cancer tissue using deep learning. By controlling for technical artifacts on a curated dataset, the model puts forward novel HRD-related morphologies in luminal breast cancers. |
| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1016/j.xcrm.2022.100873 |
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