Get details and participate in this year’s competition
The Lung Cancer Detection Challenge
Start Your Submission! January 12 – April 12, 2017
Lung cancer is one of the most common types of cancer, with nearly 225,000 new cases of the disease expected in the U.S. in 2016.
Using a data set of high-resolution scans of lungs provided by the National Cancer Institute, participants will develop artificial intelligence algorithms to accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that prevents low-dose CT scans from being widely used for lung cancer detection.
Competition results have the potential to advance our understanding of how all types of cancer develop and spread in the body. They’ll also free radiologists to spend more time with patients.
This year, the Data Science Bowl will award a total prize purse of $1 million— provided by the Laura and John Arnold Foundation— to those who observe the right patterns, ask the right questions, and in turn, create unprecedented impact around this high-priority issue.