Computer-Aided Disease Detection from Medical Data
Benchmarks of convolutional neural network (CNN) architectures applied to disease detection, including Pulmonary Tuberculosis (TB) detection on chest X-rays (CXR).
Please use the BibTeX reference below to cite this work:
@INPROCEEDINGS{raposo_union_2022,
author = {Raposo, Geoffrey and Trajman, Anete and Anjos, Andr{\'{e}}},
month = 11,
title = {Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using Deep Models},
booktitle = {Union World Conference on Lung Health},
year = {2022},
date = {2022-11-01},
organization = {The Union},
}
@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/biosignal/software/mednet},
pdf = {https://publidiap.idiap.ch/downloads/reports/2021/Raposo_Idiap-Com-01-2021.pdf}
}User Guide
Indices and tables
- :ref:`genindex`
- :ref:`modindex`
- :ref:`search`