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Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms
This study aimed to develop a bimodal convolutional neural network (CNN) by co-training grayscale images and scalograms of ECG for cardiovascular disease classification. The bimodal CNN model was developed using a 12-lead ECG database collected from Chapman University and Shaoxing People's Hosp...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941114/ https://www.ncbi.nlm.nih.gov/pubmed/36804469 http://dx.doi.org/10.1038/s41598-023-30208-8 |