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About (IJCST-V9I4P15) :unsa Maheen, Khawar Iqbal Malik, Gohar Ali
The document discusses using deep learning algorithms to classify COVID-19 X-ray images. It analyzes different pre-trained CNN models to classify COVID-19, finding that ResNet-34 achieves the highest accuracy of 98.33%. The model may help researchers further train CNNs for quickly screening COVID patients.
Detailed Information
| Author: | ['EighthSenseGroup'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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