Metadata-Version: 1.2
Name: bob.med.tb
Version: 1.0.1
Summary: Active Pulmonary Tuberculosis Detection On Chest X-Rays
Home-page: https://gitlab.idiap.ch/bob/bob.med.tb
Author: Geoffrey Raposo
Author-email: geoffrey@raposo.ch
Maintainer: Andre Anjos
Maintainer-email: andre.anjos@idiap.ch
License: GPLv3
Description: .. -*- coding: utf-8 -*-
        
        .. image:: https://img.shields.io/badge/docs-v1.0.1-orange.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.med.tb/v1.0.1/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.med.tb/badges/v1.0.1/pipeline.svg
           :target: https://gitlab.idiap.ch/bob/bob.med.tb/commits/v1.0.1
        .. image:: https://gitlab.idiap.ch/bob/bob.med.tb/badges/v1.0.1/coverage.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.med.tb/v1.0.1/coverage/index.html
        .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
           :target: https://gitlab.idiap.ch/bob/bob.med.tb
        
        
        ======================================================
         Active Tuberculosis Detection On CXR Package for Bob
        ======================================================
        
        This package is part of the signal-processing and machine learning toolbox
        Bob_. It implements training and inference on frontal CXR for Tuberculosis
        detection.
        
        
        Installation
        ------------
        
        Complete bob's `installation`_ instructions. Then, to install this
        package, run::
        
          $ conda install bob.med.tb
        
        
        Citation
        --------
        
        If you use this software package in a publication, we would appreciate if you
        could cite our work::
        
           @TECHREPORT{Raposo_Idiap-Com-01-2021,
              author = {Raposo, Geoffrey},
              keywords = {deep learning, generalization, Interpretability, transfer learning, Tuberculosis Detection},
              projects = {Idiap},
              month = {7},
              title = {Active tuberculosis detection from frontal chest X-ray images},
              type = {Idiap-Com},
              number = {Idiap-Com-01-2021},
              year = {2021},
              institution = {Idiap},
              url = {https://gitlab.idiap.ch/bob/bob.med.tb},
              pdf = {https://publidiap.idiap.ch/downloads//reports/2021/Raposo_Idiap-Com-01-2021.pdf}
           }
        
        
        Contact
        -------
        
        For questions or reporting issues to this software package, contact our
        development `mailing list`_.
        
        
        .. Place your references here:
        .. _bob: https://www.idiap.ch/software/bob
        .. _installation: https://www.idiap.ch/software/bob/install
        .. _mailing list: https://www.idiap.ch/software/bob/discuss
        
Keywords: bob
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
