BCa - Brain Cancer Segmentation Python Package

SPDX-FileCopyrightText: Copyright (C) 2022-2024 Ebtihal Alwadee [email protected], PhD student at Cardiff University
SPDX-FileCopyrightText: Copyright (C) 2022-2024 Frank C Langbein [email protected], Cardiff University

SPDX-License-Identifier: AGPL-3.0-or-later

This contains python code for brain cancer segmentation with deep learning, including a range of network architectures.

The architectures consist of basic 3D UNets and the 3D LATUP-Net segmentation model with some variations/parameters.

Results of using these modules are available at https://qyber.black/ca/results-bca-latup.

Installation

Clone it with git clone URL where URL is the clone URL for the repository you wish to clone. The development repo is at https://qyber.black/ca/bca/code-bca, but you may find it at mirrors as well.

The requirements.txt file contains the dependencies, to be installed with pip3 install -r requirements.txt.

API Documentation

The API documentation is accessible at https://ca.qyber.dev/bca/code-bca.

The folder bca contains the python module for the actual functionalities. It has been documented using pdoc. Run pdoc -h localhost -p 8888 -n bca in the project's root folder and then view the documentation with your browser via the URL http://localhost:8888 Of course you can use pdoc to generate the documentation differently (see the pdoc documentation at https://pdoc.dev/).

Citation

E Alwadee, FC Langbein. BCa - Brain Cancer Segmentation Python Package. Version 1.0. Software. 2024. https://qyber.black/ca/code-bca