Million-dollar prize hints at how machine learning may someday spot cancer | MIT Tech Review

by Alex Kirkpatrick

09 May 2017

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A contest aimed at automating the detection of lung cancer shows how machine learning may be poised to overhaul medical imaging. The challenge offered $1 million in prizes for the algorithms that most accurately identified signs of lung cancer in low-dose computed tomography images. The winning algorithms won’t necessarily be adopted by clinicians, but they could inspire algorithmic innovations that find their way into medical imaging.

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Alex Kirkpatrick is a passionate writer and science communicator...

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