We assess the utility of several possible techniques for measuring hidden stratification effects, and characterize these effects both via synthetic experiments on the CIFAR-100 benchmark dataset and on multiple real-world medical imaging datasets.
In this work, we propose new prognostic methods that predict 5-year mortality in elderly individuals using chest computed tomography (CT). The methods consist of a classifier that performs this prediction using a set of features extracted from the CT image and segmentation maps of multiple anatomic structures. Preliminary results of this work have been published in ISBI 2017 and Scientific Reports (SREP).
After the SREP publication, the work had a press release, which caught the attention of the general media: Fox News, Daily Mail, Wired, The Australian (Section Counting the Decimal Places), Huffington Post, ComputerWorld, The Lead, TechExplore, Medical News Today, Engadget, Inside South Australia, Indaily, The Advertiser, NewsX, Gizmodo (India).
Check these interviews: Luke's live radio interview (Radio Adelaide), Lyle's Researchgate interview.