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cis537_2018fall's Introduction

CIS537_2018Fall

CIS 537 Biomedical Image Analysis - Gastounioti/Kontos Project

Deep learning model

Shell script

Make sure you have installed conda. Then you can simply run

./cnn.sh

It will run from data processing till running the model. If you want to do step by step, please see the follwoing instructions.

Data processing

Run in the following order

python rename.py
python image_processing_7_featmaps.py
python datasets_adpt_7_featmaps.py

Set up conda environment

We use conda yaml file to configure the enviornment. You can find the shell script here: https://conda.io/miniconda.html

Install

After running shell script, do the following

anaconda 2 :

export PATH=~/anaconda2/bin:$PATH

anaconda 3 :

export PATH=~/anaconda3/bin:$PATH

Then do the following to create and activate the environment

conda env create -f environment.yml
source activate cis537

Then when running python files, they will be in this envrionment.

Note, to exit the environment, simply run

conda deactivate

Run the model

Simply run

python CIS537_tensorflow.py

cis537_2018fall's People

Contributors

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cis537_2018fall's Issues

RSNA abstract

This is issue will track ToDo lists and progress on the work for the abstract we hope to submit to RNSA 2019.

Submission deadline is Wednesday, April 10, 2019, 12 p.m. CT.

@gastouna Feel free to comment here at any level of the planning/execution. Not expecting you to go through code line-by-line, but we always value any input you may want to offer.

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