An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR
Published in Journal of X-Ray Science and Technology, 2022
Check the paper at https://doi.org/10.3233/XST-221151 or download from below.
Recommended citation: Zhuang, Yan, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, and Tzu-Liang Tseng. “An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR.” Journal of X-Ray Science and Technology 30, no. 5 (2022): 847-862.
Recommended citation: Zhuang, Yan, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, and Tzu-Liang Tseng. "An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR." Journal of X-Ray Science and Technology 30, no. 5 (2022): 847-862.
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