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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Junjiang Zhu, Yihui Zhang, Cheng Ma, Jiaming Wu, Xuchen Wang, Dongdong Kong
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2025-03-01
Saila:Journal of Imaging
Gaiak:
COVID-19
ECG images
ghost module (GM)
convolutional block attention module (CBAM)
lightweight
deep learning
Sarrera elektronikoa:https://www.mdpi.com/2313-433X/11/3/76
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