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About Using X Ray Images and Deep Learning For Automated Detection of Coronavirus Disease
This article discusses using deep learning models to automatically detect coronavirus from X-ray and CT images. The researchers conducted a study comparing several deep learning models (VGG16, VGG19, DenseNet201, Inception_ResNet_V2, Inception_V3, ResNet50, and MobileNet_V2) on a dataset of over 6,000 chest X-ray and CT images labeled as bacterial pneumonia, coronavirus, COVID-19, or normal. The Inception_ResNet_V2 and DenseNet201 models achieved the best results, with accuracies of 92.18% and 88.09% respectively, demonstrating that deep learning can help with automatic detection and classification of coronavirus from medical images.
Detailed Information
| Author: | ['bhattajagdish'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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