├── .gitignore ├── README.md ├── chexpert_supervised ├── .gitignore ├── README.md ├── chexpert-model │ ├── args │ │ ├── __init__.py │ │ ├── base_arg_parser.py │ │ ├── test_arg_parser.py │ │ └── train_arg_parser.py │ ├── bash_scripts │ │ ├── finetune_normal.sh │ │ ├── finetune_normal2.sh │ │ ├── train_chexpert_models.sh │ │ ├── train_intermountain_models.sh │ │ ├── train_synthetic.sh │ │ └── valid_ignore.sh │ ├── calibrate.py │ ├── calibration_params.json │ ├── cams │ │ ├── __init__.py │ │ ├── base_cam.py │ │ ├── ensemble_cam.py │ │ ├── grad_cam.py │ │ ├── guided_backprop.py │ │ └── model_cam_configs.json │ ├── confidence_interval.py │ ├── confidence_interval_diff.py │ ├── constants │ │ ├── __init__.py │ │ └── constants.py │ ├── data │ │ ├── __init__.py │ │ ├── base_dataset.py │ │ ├── chexpert_dataset.py │ │ ├── custom_dataset.py │ │ ├── loader.py │ │ ├── pad_collate.py │ │ └── task_sequences.json │ ├── dataset │ │ ├── __init__.py │ │ ├── base_dataset.py │ │ ├── ckpts │ │ │ └── debugging │ │ │ │ └── args.json │ │ ├── concat_dataset.py │ │ ├── constants.py │ │ ├── get_loader.py │ │ ├── label_mapper.py │ │ ├── nih_dataset.py │ │ ├── pad_collate.py │ │ ├── predict_config.json │ │ ├── su_dataset.py │ │ ├── task_sequences.json │ │ └── transforms │ │ │ ├── __init__.py │ │ │ └── clahe.py │ ├── eval │ │ ├── __init__.py │ │ ├── average_meter.py │ │ ├── below_curve_counter.py │ │ ├── evaluator.py │ │ └── loss.py │ ├── logger │ │ ├── __init__.py │ │ └── logger.py │ ├── models │ │ ├── __init__.py │ │ ├── calibrate.py │ │ └── models.py │ ├── optim │ │ ├── __init__.py │ │ └── optimizer.py │ ├── predict │ │ ├── __init__.py │ │ ├── configs │ │ │ ├── final.json │ │ │ └── toy.json │ │ ├── ensemble_predict.py │ │ └── predict.py │ ├── saver │ │ ├── __init__.py │ │ └── model_saver.py │ ├── sbatch │ │ ├── gen_sbatch.py │ │ └── job_management.py │ ├── scripts │ │ ├── get_cams.py │ │ ├── get_model_size.py │ │ └── map_uncertain.py │ ├── select_ensemble.py │ ├── test.py │ ├── test_images.py │ ├── test_one.py │ ├── timeout_test.py │ ├── train.py │ └── util │ │ ├── __init__.py │ │ ├── cuda_util.py │ │ ├── image_util.py │ │ ├── io_util.py │ │ ├── label_util.py │ │ └── model_util.py └── environment.yml ├── image_source ├── contrastive_learning.PNG ├── cx_all_full_ci.PNG ├── cx_all_last_ci.PNG └── moco_flowchart_new.PNG └── moco_pretraining ├── moco ├── LICENSE ├── aihc_utils │ ├── __init__.py │ ├── image_transform.py │ └── storage_util.py ├── detection │ ├── README.md │ ├── configs │ │ ├── Base-RCNN-C4-BN.yaml │ │ ├── coco_R_50_C4_2x.yaml │ │ ├── coco_R_50_C4_2x_moco.yaml │ │ ├── pascal_voc_R_50_C4_24k.yaml │ │ └── pascal_voc_R_50_C4_24k_moco.yaml │ ├── convert-pretrain-to-detectron2.py │ └── train_net.py ├── main_lincls.py ├── main_moco.py ├── moco │ ├── __init__.py │ ├── builder.py │ └── loader.py └── training_tools │ ├── __init__.py │ ├── combiner.py │ ├── evaluator.py │ └── meters.py └── scripts ├── convert_to_chexpert.py ├── generate_moco_training_scripts.py ├── parse_log.py ├── reorganize_files.py ├── resize.sh ├── shenzhen_mutiple_split.py ├── split_into_train_val.py └── training_scripts ├── r8w1n416.sh ├── sbatch_lincls_template.sh ├── sbatch_moco_lincls.sh ├── sbatch_moco_train.sh └── sbatch_moco_train_local.sh /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/stanfordmlgroup/MoCo-CXR/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/stanfordmlgroup/MoCo-CXR/HEAD/README.md -------------------------------------------------------------------------------- /chexpert_supervised/.gitignore: -------------------------------------------------------------------------------- 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