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.
1 maintainer
Release files for bob.med.tb 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob.med.tb-1.0.2.zip | 10.0 MB | Details |
Release files / bob.med.tb-1.0.2.zip
| Download URL | bob.med.tb-1.0.2.zip |
|---|---|
| Size | 10.0 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/2.0.0 pkginfo/1.8.1 requests/2.26.0 setuptools/58.0.4 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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