Figure 1
From: Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer
Workflow for the selection of feature specific image preprocessing. The images are all processed in four ways: no extra processing, smoothing with a Butterworth filter, resampling to an 8 bit depth, and both smoothing with a Butterworth filter and resampling with an 8 bit depth. Each feature is calculated from the four sets of processed images. Then the best processing is determined on a feature specific basis by evaluating the univariate significance, dependence on the CT model used to acquire the images, and volume dependence. Based on the results of these tests, one image preprocessing is selected for that feature. Then the process is repeated for the next feature. If no image preprocessing for a feature allows it to pass the tests, then the feature is removed entirely.
