├── .gitignore ├── 0_get_labels.ipynb ├── 1_data_process_clef19.ipynb ├── 2_train_CLEF2019.ipynb ├── ImageCLEF2019Dataset.ipynb ├── README.md ├── asset ├── algorithm.png ├── network.png └── top_results.png ├── environment.yml ├── gpu_test.ipynb ├── graph_compare.ipynb └── others ├── 2D ├── 3Dto2D.ipynb ├── VGG_2D.ipynb ├── VGG_2D_inference.ipynb ├── data_vis.py ├── helpers.py ├── inceptionv3.ipynb ├── load_2D_data.ipynb ├── load_3D_data.ipynb └── y_train_clef.npy ├── 3D ├── 3D Convolutional Nets.ipynb ├── EDA_3D.ipynb ├── experiment.ipynb ├── helpers.py ├── inference.ipynb ├── load_3D_data.ipynb ├── resnet3D.ipynb ├── results_texts │ ├── Sresnet_3d_exp1.txt │ └── resnet_3d_exp2.txt └── y_train_clef.npy ├── 5th_place_submission ├── model_architecture │ ├── labels.ipynb │ └── model_architecture.ipynb ├── plot_metrics.ipynb └── preprocessing │ ├── normalization_and_zero_center.ipynb │ └── spline_interpolation_zoom.ipynb ├── graph_compare.ipynb ├── imageclefsol ├── clef-train.ipynb └── 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