Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka. POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. In Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II. Volume 13351 of Lecture Notes in Computer Science, pages 441-454, Springer, 2022. [doi]
@inproceedings{SzczepanskiSTP22,
title = {POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection},
author = {Tomasz Szczepanski and Arkadiusz Sitek and Tomasz Trzcinski and Szymon Plotka},
year = {2022},
doi = {10.1007/978-3-031-08754-7_51},
url = {https://doi.org/10.1007/978-3-031-08754-7_51},
researchr = {https://researchr.org/publication/SzczepanskiSTP22},
cites = {0},
citedby = {0},
pages = {441-454},
booktitle = {Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II},
editor = {Derek Groen and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {13351},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-08754-7},
}