Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23693, first published .
Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: A… https://t.co/vbaTa78fYI

4:07 PM · Feb 10, 2021

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New in JMIR: Fast and Accurate Detection of #COVID19 #coronavirus Along With 14 Other Chest Pathologies Using a Mul… https://t.co/g8ZI8bFLJC

5:43 PM · Feb 10, 2021

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State-of-the-art deep neural networks classify 16 cardiothoracic diseases by training the models based on x-ray ima… https://t.co/C05sMj4tKQ

7:48 PM · Feb 10, 2021

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RT @health20Paris: State-of-the-art deep neural networks classify 16 cardiothoracic diseases by training the models based on x-ray images i…

7:48 PM · Feb 10, 2021

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RT @jmirpub: New in JMIR: Fast and Accurate Detection of #COVID19 #coronavirus Along With 14 Other Chest Pathologies Using a Multi-Level Cl…

8:10 PM · Feb 10, 2021

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RT @health20Paris: State-of-the-art deep neural networks classify 16 cardiothoracic diseases by training the models based on x-ray images i…

8:16 PM · Feb 10, 2021

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RT @health20Paris: State-of-the-art deep neural networks classify 16 cardiothoracic diseases by training the models based on x-ray images i…

11:04 PM · Feb 11, 2021

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