Classification evaluation
Prediction accuracy of the 2 best classification models (“Accuracies of the classification on internal and external validation datasets, for 6 segmentations (4 automatic, 2 manual).Best accuracies were obtained for 7-class segmentations. CNN1 was only able to correctly classify 50% and 67% respectively internally and externally. The two transfer learning automatic segmentations were able to reach the same accuracy as manual segmentations internally, and with the 7-class segmentation, transfer learning automatic segmentation outperformed the external prediction made with the manual segmentation (10/12 vs 8/12).