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Million-dollar prize hints at how machine learning may someday spot cancer | MIT Tech Review
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.
Alex Kirkpatrick
is a passionate writer and science communicator...
Alex Kirkpatrick
is a passionate writer and science communicator...
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