COVID-19胸片扫描的分类

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI:10.1109/AIST55798.2022.10064887

Navya Agarwal, Ananya Srivastava, Poonam Bansal, Kiran Malik

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引用次数: 0

摘要

人类因COVID-19大流行而遭受了两年多的痛苦。在大流行期间，检测包无法广泛获得，这引起了恐慌。任何能够更快、更准确地识别COVID-19感染的技术发展都将对医疗领域非常有益。x射线可用于检查患者的肺部，因为COVID-19针对的是呼吸系统的上皮细胞。然而，将COVID-19与其他病毒性肺炎病例区分开来是具有挑战性的。本文的目的是研究深度学习模型在胸部x线扫描中快速准确检测COVID-19的有效性。

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Classification of Chest Radiography Scans for COVID-19

Humanity has suffered as a result of the COVID-19 pandemic for more than two years. Testing kits were not widely accessible during the pandemic, which caused alarm. Any technical development that enables a quicker and more accurate identification of COVID-19 infection can be very beneficial for the medical field. X-rays can be used to examine a patient’s lungs since COVID-19 targets the epithelial cells that line the respiratory system. It is challenging to determine COVID-19 from other Viral Pneumonia cases, though. The purpose of this paper is to examine the effectiveness of deep learning models in the quick and precise detection of COVID-19 in chest X-ray scans.

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2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)

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