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$1.2M crowdsourced contest aims to improve breast-cancer detection through deep machine learning

September 1, 2016

$1.2M crowdsourced contest aims to improve breast-cancer detection through deep machine learning

GeekWire

 

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Breast-cancer screening using mammograms certainly saves lives, but too many women receive false positives from the test and — even worse — some cancers are missed.

Now Seattle researchers and healthcare providers are leading a global, X-prize style contest that could ultimately result in big improvements in breast-cancer diagnoses. They’re helping organize the crowdsourced event that asks commercial and nonprofit organizations to develop algorithms that use deep machine learning to more accurately identify breast cancers.

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Register for the Digital Mammography DREAM Challenge