Article
Pan-cancer image-based detection of clinically actionable genetic alterations.
Nature cancer - 1 Aug 2020
Kather Jakob Nikolas, Heij Lara R, Grabsch Heike I, Loeffler Chiara, Echle Amelie, Muti Hannah Sophie, Krause Jeremias, Niehues Jan M, Sommer Kai A J, Bankhead Peter, Kooreman Loes F S, Schulte Jefree J, Cipriani Nicole A, Buelow Roman D, Boor Peter, Ortiz-Brüchle Nadi-Na, Hanby Andrew M, Speirs Valerie, Kochanny Sara, Patnaik Akash, Srisuwananukorn Andrew, Brenner Hermann, Hoffmeister Michael, van den Brandt Piet A, Jäger Dirk, Trautwein Christian, Pearson Alexander T, Luedde Tom
Abstract excerpt
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environment. Routine histopathology tissue slides - which are ubiquitously available - can reflect such morphological changes. Here, we show that deep learning can consistently infer a wide range of genetic mutations, molecular tumor subtypes, gene expression signatures and standard pathology biomarkers directly from...
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