[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 = 2
regularizationWeight = 1e-5
epochs = 10000
name = SEGGUIDED
freeze = BOTTOM

[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/BOTTOM_FROZEN