Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach.

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Title: Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach.
Authors: Mittal, Mamta1, Chauhan, Nitin Kumar2, Ghansiyal, Adrija3, Hemanth, D. Jude4, judehemanth@karunya.edu
Source: New Generation Computing; Nov2024, Vol. 42 Issue 4, p715-737, 23p
Database: Applied Science & Technology Source
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  Data: Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach.
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        Value: 10.1007/s00354-024-00254-5
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        Text: English
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      – TitleFull: Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach.
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            NameFull: Mittal, Mamta
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            NameFull: Chauhan, Nitin Kumar
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            NameFull: Ghansiyal, Adrija
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              Text: Nov2024
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              Y: 2024
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