Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review

Over the past decade, the development of molecular high-throughput methods (omics) increased rapidly and provided new insights for cancer research. In parallel, deep learning approaches revealed the enormous potential for medical image analysis, especially in digital pathology. Combining image and o...

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Veröffentlicht in:European journal of cancer (1990) 2022-01, Vol.160, p.80-91
Hauptverfasser: Schneider, Lucas, Laiouar-Pedari, Sara, Kuntz, Sara, Krieghoff-Henning, Eva, Hekler, Achim, Kather, Jakob N., Gaiser, Timo, Fröhling, Stefan, Brinker, Titus J.
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