Fig. 1: The source and distribution of each data set.
From: A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs
We included 5204 pelvic radiographs (PXR) from 2008 to 2016 as our development data set to develop PelviNet. Then we included PXRs from 1888 patients presented in the emergency room from January to December 2017 as our test data set. In advance, we randomized selected 150 PXRs from the test dataset to compose the PXR150 data set, which was used to perform the physician comparison test.
