| Autor: |
Vinothini, R., Niranjana, G. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-9, 9p |
| Abstrakt: |
Corona Virus Disease 2019-Covid-19 is one of the most severe and acute disease that affected the economy and wellbeing of the globe. The Covid-19 diagnostic method was carried out in two broad categories: RT-PCR in the laboratory and chest radiography (X-ray and CT scan). Recently, the rapid researches have pioneered to collaborate the healthcare with Artificial Intelligence (AI). With focus of AI, the huge studies on going in the COVID-19 disease for obtaining the ultimate accuracy results and diagnosis the disease at an early time. This survey provides systematic review and meta-analysis with highlighting novelty for the future research directions and mostly concentrated on analysis work of previous models on classification of dataset which is containing Covid-19, Pneumonia, SARS-COV2, and Normal lungs of CT (Computerized Tomography) scan images using the techniques of Deep Learning. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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