# Model Card for None | |
architecture: Conv4_FC3 | |
multi_network: False | |
dropout: 0.0 | |
latent_space_dimension: 64 | |
latent_space_size: 2 | |
selection_metrics: ['loss'] | |
label: diagnosis | |
selection_threshold: 0.0 | |
gpu: True | |
n_proc: 32 | |
batch_size: 32 | |
evaluation_steps: 20 | |
seed: 0 | |
deterministic: False | |
compensation: memory | |
transfer_path: ../../autoencoders/exp3/maps | |
transfer_selection_metric: loss | |
use_extracted_features: False | |
multi_cohort: False | |
diagnoses: ['AD', 'CN'] | |
baseline: True | |
normalize: True | |
data_augmentation: False | |
sampler: random | |
n_splits: 5 | |
epochs: 200 | |
learning_rate: 1e-05 | |
weight_decay: 0.0001 | |
patience: 10 | |
tolerance: 0.0 | |
accumulation_steps: 1 | |
optimizer: Adam | |
preprocessing_dict: {'preprocessing': 't1-linear', 'mode': 'roi', 'use_uncropped_image': False, 'roi_list': ['leftHippocampusBox', 'rightHippocampusBox'], 'uncropped_roi': False, 'prepare_dl': False, 'file_type': {'pattern': '*space-MNI152NLin2009cSym_desc-Crop_res-1x1x1_T1w.nii.gz', 'description': 'T1W Image registered using t1-linear and cropped (matrix size 169×208×179, 1 mm isotropic voxels)', 'needed_pipeline': 't1-linear'}} | |
mode: roi | |
network_task: classification | |
caps_directory: $WORK/../commun/datasets/adni/caps/caps_v2021 | |
tsv_path: $WORK/Aramis_tools/ClinicaDL_tools/experiments_ADDL/data/ADNI/train | |
validation: KFoldSplit | |
num_networks: 2 | |
label_code: {'AD': 0, 'CN': 1} | |
output_size: 2 | |
input_size: [1, 50, 50, 50] | |
loss: None | |