Artikel ; Online: g-CXR-Net: A Graphic Application for the Rapid Recognition of SARS-CoV-2 from Chest X-Rays
medRxiv
Abstract: g-CXR-Net is a graphic application for the rapid recognition of SARS-CoV-2 from Antero/Posterior chest X-rays. It employs the Artificial Intelligence engine of CXR-Net (arXiv:2103.00087) to generate masks of the lungs overlapping the heart and large vasa, ...
Abstract | g-CXR-Net is a graphic application for the rapid recognition of SARS-CoV-2 from Antero/Posterior chest X-rays. It employs the Artificial Intelligence engine of CXR-Net (arXiv:2103.00087) to generate masks of the lungs overlapping the heart and large vasa, probabilities for Covid vs. non-Covid assignment, and high resolution heat maps that identify the SARS associated lung regions. |
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Schlagwörter | covid19 |
Sprache | Englisch |
Erscheinungsdatum | 2021-06-09 |
Verlag | Cold Spring Harbor Laboratory Press |
Dokumenttyp | Artikel ; Online |
DOI | 10.1101/2021.06.06.21258428 |
Datenquelle | COVID19 |
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