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In the United States, lung cancer strikes 225,000 people every y= ear, and accounts for $12 billion in health care costs. Early detection is = critical to give patients the best chance at recovery and survival. Using a= data set of thousands of high-resolution lung scans from the National Lung Screening Trial (NLST)= provided by the National Cancer Institute, participants developed algo= rithms that accurately determine when lesions in the lungs are cancerous. T= his will dramatically reduce the false positive rate that plagues the curre= nt detection technology, get patients earlier access to life-saving interve= ntions, and give radiologists more time to spend with their patients. The c= hallenge was hosted on Kaggle at: https://ww= w.kaggle.com/c/data-science-bowl-2017.