Table 1.

Kappa-values for the ResNet models that were trained on different versions of the Camelyon16 data set

model / data	Cam_ori	Cam_HE	Cam_TL	TL_ori	TL_HE	TL_Cam
ResNet_ori	0.85	0.00	0.12	0.00	0.00	0.54
ResNet_HE	0.02	0.79	0.28	0.13	0.55	0.01
ResNet_TL	0.36	0.10	0.79	0.55	0.08	0.24

The training images (from the Camelyon16 data set) are 1) original (Cam_ori), 2) normalized by the CycleGAN to the HEV data set (Cam_HE) or 3) the TL data set (Cam_TL), respectively. For each training sets, a ResNet model was trained: 1) ResNet_ori, 2) ResNet_HE and 3) ResNet_TL. All models were tested on images from the Camelyon16 data set (n=1728 images) and the TL data set (n=1802 images). There were again three versions of both test data sets: one original version (Cam_ori and TL_ori), one version normalized to the HEV data set (Cam_HE and TL_HE), and one version normalized to the Camelyon16 (TL_Cam) or the TL data set (Cam_TL). The best kappa value obtained for each test set (column-wise) on all models is shown in bold