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Active Pulmonary Tuberculosis Detection On Chest X-Rays

Project description

https://img.shields.io/badge/docs-v1.0.2-orange.svg https://gitlab.idiap.ch/bob/bob.med.tb/badges/v1.0.2/pipeline.svg https://gitlab.idiap.ch/bob/bob.med.tb/badges/v1.0.2/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

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.

Project details


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Source Distribution

bob.med.tb-1.0.2.zip (10.0 MB view hashes)

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