| Autor: |
Turgunov, Abrorjon, Orziqulova, Zulfizar, Mamadaliev, Khusniddin, Begimov, Oybek, Yusupova, Janar |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3244 Issue 1, p1-6, 6p |
| Abstrakt: |
This article, X-ray images of the patient were analyzed in order to reduce mortality by early diagnosis of infectious diseases, processing of X-ray images, clarification of its borders, adjustment of image values through histograms was carried out, especially in the detection of COVID disease. Various neural network models were studied using existing lung X-ray images, and the results were obtained using the W-SCBNet neural network model. A result of 93 percent of covid disease recognition was achieved. The results are illustrated by tables and diagrams. A faster and cheaper way to detect Covid-19 and similar infectious diseases using X-ray images has been considered. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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