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"Deep Learning Based Approaches to Detect Covid-19 with X-Ray Images" by Zheng Wang

In 2019, the outbreak of COVID-19 impacted on people's life and the economy around the world. In medical science circle, scientists invented and utilized a reverse transcription polymerase chain reaction (RT-PCR) to search for this infectious disease. However, due to the hidden disease that spreads fast, the method of RT-PCR did not test for a large number of people in a short period. Therefore, it is urgent for researchers to find an alternation as a method for diagnosis. Deep learning is a crucial method to replace the original way in the medical imaging. The enough images are critical deficiency in the beginning of the outbreak of COVID-19. Moreover, we collect tomography (CT) images and X-ray images from different websites to detect COVID-19. Initially, this method was used to prepare a database of two classes: COVID-19 and Normal, and then comparing different DL models to search for two models that have better performance. Now, the usage of two models could be applied in thre ....

Classification Model , Covid 19 , X Ray Images ,

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Công Bố Kết Quả Chung Cuộc Chương Trình Bình Chọn Xe Của Năm 2021

Công Bố Kết Quả Chung Cuộc Chương Trình Bình Chọn Xe Của Năm 2021
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