Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT

Figure 6

Summary of the average Dice coefficient for both datasets. The ground truth was evaluated using a single physician contour for the training data and an estimated consensus using STAPLE for the test data which explains the generally higher scores for each algorithm.