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
