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GM-CBAM-ResNet: A Lightweight Deep Learning Network for Diagnosis of COVID-19

COVID-19 can cause acute infectious diseases of the respiratory system, and may probably lead to heart damage, which will seriously threaten human health. Electrocardiograms (ECGs) have the advantages of being low cost, non-invasive, and radiation free, and is widely used for evaluating heart health...

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Autori principali: Junjiang Zhu, Yihui Zhang, Cheng Ma, Jiaming Wu, Xuchen Wang, Dongdong Kong
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-03-01
Serie:Journal of Imaging
Soggetti:
COVID-19
ECG images
ghost module (GM)
convolutional block attention module (CBAM)
lightweight
deep learning
Accesso online:https://www.mdpi.com/2313-433X/11/3/76
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