Paper

Deep learning in cancer pathology: a new generation of clinical biomarkers

Published Nov 18, 2020 · A. Echle, Niklas Rindtorff, T. Brinker

British Journal of Cancer

455

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Abstract

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Rigorous JournalHighly Cited

Study Snapshot

Deep learning technology can extract clinically useful information from routine cancer histology images, potentially simplifying and enriching clinical decision-making.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Deep learning in cancer pathology: a new generation of clinical biomarkers

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