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Deep Transfer Learning Applied to Pulmonary Node Detection

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EECS 600: Final Project

Install Requirements:

To install the requirements run:

pip install --user -r requirements.txt

Fetching LIDC Data:

All the LIDC data can be found here

Setting up PyLIDC requires a file called ".pylidcrc" to be placed in the users home directory with the following content:

[dicom]
path = PATH_TO_LIDC-IDRI_DATA
warn = True

The data is roughly 125gb and can be processed by running:

python lidc_parser.py

Running Training:

Once the data is processed, to train classifier, run:

python transfer.py

The settings in this file under "constant values" can be modified to train the model to specific parameters

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