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A deep learning based framework for lung cancer survival analysis with biomarker interpretation.

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A Deep Learning Based Framework for Lung Cancer Survival Analysis with Biomarker Interpretation

sklearn-lifelines sklearn estimator wrappers for lifeline survival analysis Cox proportional hazard and Aalen Additive models from https://github.com/CamDavidsonPilon/lifelines

##Installation pip install git+https://github.com/sashaostr/sklearn-lifelines.git

##Requirements keras with theano backend (keras version 1.0.4 or later) h5py numpy matplotlib opencv3

##External data Download the keras vgg16 weights.

##Usage

(1)Config.py Please set all the parameters. (2)train-unet.py Train the U-Net. (3) Analysis.py

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A deep learning based framework for lung cancer survival analysis with biomarker interpretation.

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