Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images Table 3. Ablation study of the effect of conditional model for the fixed descriptor model (VICReg) and different conditional density models (gaussian, normalizing flow and Simplenet). None in Condition model column means that results are given for a unconditional model. Descriptor model Condition model Density model Voxel-level AUROC Dice score LIDC MIDRC KiTS LiTS LIDC MIDRC KiTS LiTS DenseVICReg, d desc = 32 None Gaussian 0 81 0 81 0 61 0 71 0 00 ± 0 00 0 17 ± 0 13 0 00 ± 0 01 0 00 ± 0 01 —– " —– Sin-cos pos. —– " —– 0 82 0 80 0 74 0 77 0 00 ± 0 00 0 14 ± 0 11 0 01 ± 0 02 0 01 ± 0 02 —– " —– APE —– " —– 0 88 0 80 0 78 0 86 0 00 ± 0 03 0 14 ± 0 10 0 01 ± 0 01 0 01 ± 0 03 —– " —– Masking-equiv. —– " —– 0 96 0 84 0 87 0 90 0 04 ± 0 08 0 21 ± 0 13 0 03 ± 0 05 0 13 ± 0 19 —– " —– None Norm. flow 0 96 0 89 0 88 0 93 0 05 ± 0 12 0 31 ± 0 18 0 04 ± 0 06 0 09 ± 0 12 —– " —– Sin-cos pos. —– " —– 0 96 0 89 0 90 0 94 0 05 ± 0 13 0 30 ± 0 18 0 06 ± 0 09 0 10 ± 0 12 —– " —– APE —– " —– 0 96 0 88 0 89 0 94 0 04 ± 0 11 0 28 ± 0 18 0 05 ± 0 08 0 09 ± 0 13 —– " —– Masking-equiv. —– " —– 0 96 0 87 0 90 0 93 0 05 ± 0 13 0 28 ± 0 18 0 07 ± 0 11 0 10 ± 0 13 —– " —– None Simplenet 0 91 0 83 0 83 0 89 0 02 ± 0 06 0 23 ± 0 15 0 02 ± 0 02 0 04 ± 0 07 —– " —– Sin-cos pos. —– " —– 0 90 0 82 0 84 0 89 0 00 ± 0 01 0 22 ± 0 15 0 02 ± 0 02 0 04 ± 0 06 —– " —– APE —– " —– 0 90 0 82 0 83 0 89 0 02 ± 0 07 0 23 ± 0 16 0 02 ± 0 03 0 05 ± 0 08 —– " —– Masking-equiv. —– " —– 0 90 0 84 0 90 0 89 0 01 ± 0 02 0 23 ± 0 16 0 03 ± 0 05 0 04 ± 0 06