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Deep learning detects genetic alterations in cancer histology generated by adversarial networks

https://doi.org/10.1002/path.5638
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inferred← citeshttps://doi.org/10.1002/inmd.20250024openalex-snapshot
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inferred← citeshttps://doi.org/10.13166/jms/209303openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/cancers13225787openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/cancers14112590openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/diagnostics11081406openalex-snapshot
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inferred← citeshttps://doi.org/10.35377/saucis...1638424openalex-snapshot
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inferred← citeshttps://doi.org/10.3892/ijo.2023.5555openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2008.04526openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2212.07501openalex-snapshot
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inferred← citeshttps://doi.org/10.5946/ce.2023.036openalex-snapshot
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inferred← citeshttps://doi.org/10.6084/m9.figshare.26698715openalex-snapshot
Additional file 1 of Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
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