Metadata-Version: 2.1
Name: dosma
Version: 0.0.12
Summary: An AI-powered open-source medical image analysis toolbox
Home-page: https://github.com/ad12/DOSMA
Author: Arjun Desai
License: GNU
Project-URL: Documentation, https://dosma.readthedocs.io/
Description: # DOSMA: Deep Open-Source Medical Image Analysis
        [![Documentation Status](https://readthedocs.org/projects/dosma/badge/?version=stable)](https://dosma.readthedocs.io/en/stable/?badge=stable)
        
        DOSMA is an AI-powered Python library for medical image analysis. This includes, but is not limited to:
        - image processing (denoising, super-resolution, registration, segmentation, etc.)
        - quantitative fitting and image analysis
        - anatomical visualization and analysis (patellar tilt, femoral cartilage thickness, etc.)
        
        We hope that this open-source pipeline will be useful for quick anatomy/pathology analysis from MRI and will serve as a hub for adding support for analyzing different anatomies and scan sequences.
        
        [Documentation](http://dosma.readthedocs.io/) | [Questionnaire](https://forms.gle/sprthTC2swyt8dDb6)
        
        ## Installation
        DOSMA requires Python 3.6+. The core module depends on numpy, nibabel, nipype,
        pandas, pydicom, scikit-image, scipy, PyYAML, and tqdm.
        
        Additional AI features can be unlocked by installing tensorflow and keras. To
        enable built-in registration functionality, download [elastix](https://elastix.lumc.nl/download.php).
        Details can be found in the [setup documentation](https://dosma.readthedocs.io/en/latest/general/installation.html#setup).
        
        To install DOSMA, run:
        
        ```bash
        pip install dosma
        ```
        
        If you would like to contribute to DOSMA, we recommend you clone the repository and
        install DOSMA with `pip` in editable mode.
        
        ```bash
        git clone git@github.com:ad12/DOSMA.git
        cd DOSMA
        pip install -e '.[dev]'
        make dev
        ```
        
        To run tests, build documentation and contribute, run
        ```bash
        make autoformat test build-docs
        ```
        
        ## How to Cite
        ```
        @inproceedings{desai2019dosma,
           Title={DOSMA: A deep-learning, open-source framework for musculoskeletal MRI analysis.},
           Author =  {Desai, Arjun D and Barbieri, Marco and Mazzoli, Valentina and Rubin, Elka and Black, Marianne S and Watkins, Lauren E and Gold, Garry E and Hargreaves, Brian A and Chaudhari, Akshay S},
           Booktitle={Proc. Intl. Soc. Mag. Reson. Med},
           Volume={27},
           Number={1106},
           Year={2019}
        }
        ```
        
        In addition to DOSMA, please also consider citing the work that introduced the method used for analysis.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
