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Journals / Aurum Journal of Health Sciences / 2026 / Cilt: 4 Sayı: 1

DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING

Mohammed Khamees Ahmed(ALTINBAŞ ÜNİVERSİTESİ)0000-0001-9145-1939
Pages
25–33
Publication Date
2022-04-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this paper we propose a deep learning based model for COVID-19 detection relying on the effects it yields on the lungs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The development of technological tools based on artificial intelligence (AI) could contribute significantly in the fight against COVID-19.
📊
Key Findings & Data:AI is the ability of a machine to apply human cognitive functions.
💡
Conclusion & Impact:In this paper we propose a deep learning based model for COVID-19 detection relying on the effects it yields on the lungs.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:MRI · XRAYS · COVID-19

Özet

The development of technological tools based on artificial intelligence (AI) could contribute significantly in the fight against COVID-19. AI is the ability of a machine to apply human cognitive functions. In this paper we propose a deep learning based model for COVID-19 detection relying on the effects it yields on the lungs.

🔖

Cite This Article

Ahmed, M. K. (2022). DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences, Cilt: 4 Sayı: 1, 25–33. https://ajindex.com/articles/1581114

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