Kaggle Data Science Bowl 2017 - Detecting Lung Cancer From DICOM Scans

Exploration and visualization of lung scans and slices. (Thanks to Guido Vuidhof for most of this code).

Preprocessing, lung segmentation, and candidate point masking using pretrained LUNA16 Unet model.

Alternative strategy for preprocessing, lung segmentation, and candidate point masking (Inspired by this kernel).

Loading, resampling, lung masks, normalization.

Early attempts at 3D convnet

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
3d_cnn.ipynb		3d_cnn.ipynb
EDA.ipynb		EDA.ipynb
README.md		README.md
make_data_dir.ipynb		make_data_dir.ipynb
preprocess.ipynb		preprocess.ipynb
resnet_xgb.ipynb		resnet_xgb.ipynb
submission_blender.ipynb		submission_blender.ipynb
threshold_node_masking.ipynb		threshold_node_masking.ipynb
unet_node_masking.ipynb		unet_node_masking.ipynb

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