Artikel,
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.
T. Tan, B. Das, R. Soni, M. Fejes, H. Yang, S. Ranjan, D. Szabo, V. Melapudi, K. Shriram, U. Agrawal, L. Ruskó, Z. Herczeg, B. Darázs, P. Tegzes, L. Ferenczi, R. Mullick, und G. Avinash.Neurocomputing, (2022)
Metadaten
- BibTeX-Schlüssel
- journals/ijon/TanDSFYRSMSARHD22
- Eintragstyp
- article
- Jahr
- 2022
- Zeitschrift
- Neurocomputing
- Seiten
- 36-46
- Band
- 485
- ee
- https://doi.org/10.1016/j.neucom.2022.02.040
- URL
- http://dblp.uni-trier.de/db/journals/ijon/ijon485.html#TanDSFYRSMSARHD22
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%1 journals/ijon/TanDSFYRSMSARHD22
%A Tan, Tao
%A Das, Bipul
%A Soni, Ravi
%A Fejes, Mate
%A Yang, Hongxu
%A Ranjan, Sohan
%A Szabo, Daniel Attila
%A Melapudi, Vikram
%A Shriram, K. S.
%A Agrawal, Utkarsh
%A Ruskó, László
%A Herczeg, Zita
%A Darázs, Barbara
%A Tegzes, Pal
%A Ferenczi, Lehel
%A Mullick, Rakesh
%A Avinash, Gopal
%D 2022
%J Neurocomputing
%K dblp
%P 36-46
%T Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.
%U http://dblp.uni-trier.de/db/journals/ijon/ijon485.html#TanDSFYRSMSARHD22
%V 485
@article{journals/ijon/TanDSFYRSMSARHD22,
added-at = {2023-03-08T00:00:00.000+0100},
author = {Tan, Tao and Das, Bipul and Soni, Ravi and Fejes, Mate and Yang, Hongxu and Ranjan, Sohan and Szabo, Daniel Attila and Melapudi, Vikram and Shriram, K. S. and Agrawal, Utkarsh and Ruskó, László and Herczeg, Zita and Darázs, Barbara and Tegzes, Pal and Ferenczi, Lehel and Mullick, Rakesh and Avinash, Gopal},
biburl = {https://www.bibsonomy.org/bibtex/2df2ed16d7885acbe469367de1d675bd0/dblp},
ee = {https://doi.org/10.1016/j.neucom.2022.02.040},
interhash = {cc7c56d77cb8fdc089533b3957a4c36f},
intrahash = {df2ed16d7885acbe469367de1d675bd0},
journal = {Neurocomputing},
keywords = {dblp},
pages = {36-46},
timestamp = {2024-04-08T19:52:43.000+0200},
title = {Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.},
url = {http://dblp.uni-trier.de/db/journals/ijon/ijon485.html#TanDSFYRSMSARHD22},
volume = 485,
year = 2022
}