| [LOSSES] | |
| segmentation = dice | |
| similarity = ssim | |
| [TRAIN] | |
| model = /mnt/EncryptedData1/Users/javier/train_output/Brain_study/No_gamma/SEGGUIDED_Lsim_ncc__Lseg_dice__MET_mse_ncc_ssim_013319-11092021/checkpoints/best_model.h5 | |
| batchSize = 8 | |
| learningRate = 1e-5 | |
| accumulativeGradients = 1 | |
| gpu = 1 | |
| regularizationWeight = 1e-5 | |
| epochs = 10000 | |
| name = SEGGUIDED | |
| freeze = None | |
| [DATASETS] | |
| train = /mnt/EncryptedData1/Users/javier/ext_datasets/COMET_dataset/OSLO_COMET_CT/Formatted_128x128x128/train | |
| validation = /mnt/EncryptedData1/Users/javier/ext_datasets/COMET_dataset/OSLO_COMET_CT/Formatted_128x128x128/validation | |
| [OTHERS] | |
| outputFolder = /mnt/EncryptedData1/Users/javier/train_output/COMET/NONE_FROZEN |