This is an early forlk of chuckyee's dilated densenet implimentation for cardiac segmentation.

My intention if to ammend it for forced meaningfuly comparative attention on two images/slices.

So much will change (eventually)...

The main code is written as a Python package named `rvseg'. After cloning this repository to your machine, install with:

cd cloned/path
pip install .

You should then be able to use the package in Python:

import matplotlib.pyplot as plt
from rvseg import patient, models

p = patient.PatientData("RVSC-data/TrainingSet/patient01")
# Explore p.images, p.endocardium_masks, etc.

Scripts for model training and evaluation are located under /scripts/.

python -u scripts/train.py defaults.config

Note: this package is written with the Tensorflow backend in mind -- (batch, height, width, channels) ordered is assumed and is not portable to Theano.