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[用CT图像识别新型冠状病毒肺炎:深度学习方法与细节提取样和注意力指导]

Junren Chen1,2, Rui Chen1, Jiajun Qiu1

  • 1（ 610065） School of Computer Science, Sichuan University, Chengdu 610065, China.

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
|April 22, 2024
PubMed
概括

本研究引入了一种深度学习方法,用于在CT扫描中检测新型冠状病毒肺炎 (NCP) 病变. 这种方法增强了细节恢复和注意力机制,提高了放射科医生的诊断准确性.

关键词:
注意力机制注意力机制新冠病毒疾病2019年深度学习是一种深度学习.对象检测检测对象检测对象检测肺炎是一种肺炎.

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