Classification model TILsum prediction
BEST
The mean and standard deviation of the AUC on the outer folds of the nested cross validation are shown on Table AUC (Mean ± STD) on the outer folds of the models trained for 3 different segmentations (1 automatic and 2 manual) and 7 metrics sets.Results from the nested cross-validation procedure on data from the Train and Validation sub-datasets of Dataset1 (23 patients). Best result in bold.Regarding the segmentations, the 7-class manual segmentation shows better results than the 4-class manual segmentation, which is itself better than BLAST-CT on all experiments. On the Exp7, according to the bilateral Mann–Whitney test, 7 classes manual segmentation performed significantly better than the 2 others segmentations (p < 0.01 compared to 4-class manual segmentation, p < 0.001 compared to BLAST-CT segmentation) and the 4 classes manual segmentation performed significantly better than the BLAST-CT segmentation (p < 0.01).