Figure 1
From: Radiomics feature reproducibility under inter-rater variability in segmentations of CT images
The following pipeline is set up for each of the three datasets: (1) The PHiSeg network is trained using CT images and corresponding expert annotations. After training, given an unseen tumour image (2), the network samples (\(N =25\)) possible segmentations for that image (3). Based on these segmentations for a single tumour, (\(N = 25\)) possible radiomics feature vectors are extracted (4). Finally, feature variability across the possible segmentations is calculated (5).
