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2021 11th International Conference on Biomedical Engineering and Technology by Al Mehedi Hasan, Md (author);Shin, Jungpil (author);Parvin, Farjana (author) is a nonfiction available to read on EtoBox.

What is 2021 11th International Conference on Biomedical Engineering and Technology about?

The novel COVID-19 coronavirus has become an important threatening issue now for billions of humans. But lacking of available testing kits lead us to develop automatic detection system to prevent the spread of COVID-19. Since, most COVID-19 patients suffer the lung infection, chest X-ray can be used to be an effective imaging technique to detect COVID-19. Because of the limited number of COVID-19 chest X-ray images, it is efficient to use deep transfer learning that can provide a promising solution by transferring knowledge from generic object recognition task to domain-specific task. In this work, we aim to develop a deep transfer learning based detection of COVID-19 from chest X-ray images using imageNet pre-trained VGG-16 deep CNN model. We develop six binary classifiers for different chest X-ray image data and then integrate all the classifiers to produce a final classifier to predict COVID-19 from non COVID-19 cases (normal and other disease). To evaluate all the models, we have collected COVID-19 chest X-ray images from two open source GitHub repository and others chest X-ray images from RSNA Pneumonia Detection Challenge dataset. The experimental result shows the capability

Who reads 2021 11th International Conference on Biomedical Engineering and Technology?

Author

Al Mehedi Hasan, Md (author);Shin, Jungpil (author);Parvin, Farjana (author)

Publisher

ACM

Published

2021

Language

EN

Category

nonfiction