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Unet_segmentation

This repository is to predicting whether a CT scan is of a patient who either has or will develop lung cancer within the next 12 months or not. To do so, I will use data from LUng Nodule Analysis 2016. The dataset can be found here.

The network is trained to segment out potentially cancerous nodules and then use the characteristics of that segmentation to make predictions about the diagnosis of the scanned patient within a 12 month time frame.

Requirement

  • numpy
  • scikit-image
  • scikit-learn
  • keras 2 (tensorflow backend)
  • matplotlib
  • pydicom
  • SimpleITK

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Train Unet-segmentation on LUNA16 dataset

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