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


curated by | May 9, 2017

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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Presented work at IROS 2018 (Part 1 of 3)
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