├── .gitignore ├── 3dVNet.png ├── Confusion Matrix.PNG ├── ConfusionMatrix.PNG ├── LUNA16Challege ├── ResNet3d │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-35.pyc │ │ ├── layer.cpython-35.pyc │ │ └── model_resNet3d.cpython-35.pyc │ ├── classify_metrics.csv │ ├── classify_metrics.py │ ├── layer.py │ └── model_resNet3d.py ├── ResNet3d_predict.py ├── ResNet3d_train.py ├── Vnet │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-35.pyc │ │ ├── layer.cpython-35.pyc │ │ └── model_vnet3d.cpython-35.pyc │ ├── layer.py │ ├── model_vnet3d.py │ └── util.py ├── dataaugmation │ ├── Augmain.py │ ├── Augmentation │ │ ├── ImageAugmentation.py │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── ImageAugmentation.cpython-35.pyc │ │ │ ├── __init__.cpython-35.pyc │ │ │ ├── images_masks_3dtransform.cpython-35.pyc │ │ │ └── images_masks_transform.cpython-35.pyc │ │ └── images_masks_3dtransform.py │ └── Train_X.csv ├── dataprocess │ ├── LUNA_mask_extraction.py │ ├── LUNA_node_extraction.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-35.pyc │ │ └── data2dprepare.cpython-35.pyc │ ├── data │ │ ├── README │ │ ├── Segmentation3dImage.csv │ │ ├── Segmentation3dMask.csv │ │ ├── classify_test.csv │ │ ├── classify_train.csv │ │ ├── roc.csv │ │ └── subset.py │ ├── data2dprepare.py │ ├── data3dprepare.py │ ├── dataAnaly.py │ └── utils.py ├── log │ └── segmeation │ │ ├── events.out.tfevents.1559796884.Minshens-MacBook-Pro.local │ │ └── events.out.tfevents.1559798186.Minshens-MacBook-Pro.local ├── test.ipynb ├── vnet3d_predict.py └── vnet3d_train.py ├── README.md ├── ResVGGNet.png ├── classfy_accu.PNG ├── classfy_loss.PNG ├── luna16_header.png ├── metric.PNG ├── roc.PNG ├── segImage.bmp ├── segaccuracy.PNG └── segloss1.PNG /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/junqiangchen/LUNA16-Lung-Nodule-Analysis-2016-Challenge/HEAD/.gitignore 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