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. 2020 Oct 26;8:195594–195607. doi: 10.1109/ACCESS.2020.3033762

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This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

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FIGURE 12. — Representative examples of the generated gradient class activation maps based on predictions that illustrate parts of the chest X-ray image that are strongly activated. row, using the Normal vs Pathological/COVID-19 approach. row, using the Normal/Pathological vs COVID-19 approach. row, using the Normal vs Pathological vs COVID-19 approach.

Inline graphic — Representative examples of the generated gradient class activation maps based on predictions that illustrate parts of the chest X-ray image that are strongly activated. row, using the Normal vs Pathological/COVID-19 approach. row, using the Normal/Pathological vs COVID-19 approach. row, using the Normal vs Pathological vs COVID-19 approach.