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Uploading None in /Users/camille.brianceau/aramis/maps

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  1. README.md +56 -0
  2. maps.json +72 -0
  3. split-0_model5.pth.tar +3 -0
README.md ADDED
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+ # Model Card for None
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+ This model was trained with ClinicaDL. You can find here the
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+ ## General information
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+ ## Architecture
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+ This model was trained for **classification** and the architecture chosen is **Conv4_FC3**.
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+ **dropout**: 0.0
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+ **latent_space_size**: 2
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+ **feature_size**: 1024
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+ **n_conv**: 4
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+ **io_layer_channels**: 8
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+ **recons_weight**: 1
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+ **kl_weight**: 1
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+ **normalization**: batch
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+ **architecture**: Conv4_FC3
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+ **multi_network**: False
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+ **dropout**: 0.0
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+ **latent_space_dimension**: 64
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+ **latent_space_size**: 2
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+ **selection_metrics**: ['loss']
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+ **label**: diagnosis
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+ **selection_threshold**: 0.0
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+ **gpu**: True
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+ **n_proc**: 32
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+ **batch_size**: 32
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+ **evaluation_steps**: 20
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+ **seed**: 0
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+ **deterministic**: False
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+ **compensation**: memory
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+ **transfer_path**: ../../autoencoders/exp3/maps
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+ **transfer_selection_metric**: loss
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+ **use_extracted_features**: False
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+ **multi_cohort**: False
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+ **diagnoses**: ['AD', 'CN']
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+ **baseline**: True
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+ **normalize**: True
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+ **data_augmentation**: False
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+ **sampler**: random
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+ **n_splits**: 5
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+ **epochs**: 200
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+ **learning_rate**: 1e-05
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+ **weight_decay**: 0.0001
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+ **patience**: 10
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+ **tolerance**: 0.0
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+ **accumulation_steps**: 1
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+ **optimizer**: Adam
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+ **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'}}
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+ **mode**: roi
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+ **network_task**: classification
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+ **caps_directory**: $WORK/../commun/datasets/adni/caps/caps_v2021
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+ **tsv_path**: $WORK/Aramis_tools/ClinicaDL_tools/experiments_ADDL/data/ADNI/train
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+ **validation**: KFoldSplit
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+ **num_networks**: 2
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+ **label_code**: {'AD': 0, 'CN': 1}
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+ **output_size**: 2
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+ **input_size**: [1, 50, 50, 50]
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+ **loss**: None
maps.json ADDED
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+ {
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+ "architecture": "Conv4_FC3",
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+ "multi_network": false,
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+ "dropout": 0.0,
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+ "latent_space_dimension": 64,
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+ "latent_space_size": 2,
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+ "selection_metrics": [
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+ "loss"
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+ ],
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+ "label": "diagnosis",
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+ "selection_threshold": 0.0,
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+ "gpu": true,
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+ "n_proc": 32,
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+ "batch_size": 32,
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+ "evaluation_steps": 20,
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+ "seed": 0,
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+ "deterministic": false,
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+ "compensation": "memory",
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+ "transfer_path": "../../autoencoders/exp3/maps",
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+ "transfer_selection_metric": "loss",
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+ "use_extracted_features": false,
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+ "multi_cohort": false,
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+ "diagnoses": [
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+ "AD",
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+ "CN"
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+ ],
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+ "baseline": true,
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+ "normalize": true,
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+ "data_augmentation": false,
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+ "sampler": "random",
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+ "n_splits": 5,
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+ "epochs": 200,
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+ "learning_rate": 1e-05,
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+ "weight_decay": 0.0001,
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+ "patience": 10,
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+ "tolerance": 0.0,
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+ "accumulation_steps": 1,
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+ "optimizer": "Adam",
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+ "preprocessing_dict": {
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+ "preprocessing": "t1-linear",
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+ "mode": "roi",
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+ "use_uncropped_image": false,
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+ "roi_list": [
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+ "leftHippocampusBox",
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+ "rightHippocampusBox"
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+ ],
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+ "uncropped_roi": false,
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+ "prepare_dl": false,
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+ "file_type": {
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+ "pattern": "*space-MNI152NLin2009cSym_desc-Crop_res-1x1x1_T1w.nii.gz",
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+ "description": "T1W Image registered using t1-linear and cropped (matrix size 169\u00d7208\u00d7179, 1 mm isotropic voxels)",
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+ "needed_pipeline": "t1-linear"
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+ }
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+ },
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+ "mode": "roi",
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+ "network_task": "classification",
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+ "caps_directory": "$WORK/../commun/datasets/adni/caps/caps_v2021/",
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+ "tsv_path": "$WORK/Aramis_tools/ClinicaDL_tools/experiments_ADDL/data/ADNI/train",
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+ "validation": "KFoldSplit",
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+ "num_networks": 2,
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+ "label_code": {
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+ "AD": 0,
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+ "CN": 1
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+ },
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+ "output_size": 2,
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+ "input_size": [
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+ 1,
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+ 50,
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+ 50,
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+ 50
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+ ]
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+ }
split-0_model5.pth.tar ADDED
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+ size 1407722