Current Result Document :
| 한글제목(Korean Title) |
Exploiting Deep Learning for Fast COVID 19 Diagnosis |
| 영문제목(English Title) |
Exploiting Deep Learning for Fast COVID 19 Diagnosis |
| 저자(Author) |
Muneeb A. Khan
Myhammad Haziq Khan
Qasim Niaz
Heemin Park
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| 원문수록처(Citation) |
VOL 48 NO. 02 PP. 0458 ~ 0460 (2021. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Because of the COVID-19 epidemic, the world is in a state of lockdown. Researchers are striving to find approaches to control and mitigate this epidemic. One of the most popular and successful approaches used by researchers is the use of CT scans and X-rays to evaluate lungs pictures for COVID-19. But this requires radiologists and clinicians to manually diagnose each report, which is very challenging and time taking. In this paper, we have presented a deep learning neural network-based method to analyze the X-ray images of patients for diagnosis of COVID 19. The proposed method produces an accuracy of 96% with a sensitivity of 95%. |
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| 파일첨부 |
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