Deep learning approaches on WSIs, IHC, H&E, etc.

U-net project with testing.

STRUCTURE

.
├── README.md
├── intro
├── requirements.txt
│   ...
├── Acquisition
│   ├── __main__.py
│   ├── *.groovy
│   └── automation.py
├── test
│    ├── tbd
│    └── tbd
└── evaluation
    ├── tbd
    └── tbd

USAGE

To use the package, first make a new conda environment and activate it

conda create -n exampleenv python=3
source activate exampleenv

then run

conda install --yes --file requirements.txt

to install all the dependencies in requirements.txt. Then the package's main function (located in DeeeepLearning/acquisition/__main__.py) can be run as follows XXX

TESTING

Testing is as simple as running

python -m pytest

from the root directory of this project.