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@@ -16,7 +16,10 @@ Deep learning models have shown remarkable performance in electrocardiogram (ECG
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  ## Models
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  This repository contains:
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  - pre-trained SMALL/BASE/LARGE model sizes ready to be fine-tuned on downstream datasets
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- - SMALL/BASE/LARGE model sizes fine-tuned on Cardio-Learning for a more disease-oriented baseline for futher fine-tuning
 
 
 
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  ## 📚 Citation
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  If you use our models or find our work useful, please consider citing us:
 
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  ## Models
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  This repository contains:
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  - pre-trained SMALL/BASE/LARGE model sizes ready to be fine-tuned on downstream datasets
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+ - SMALL/BASE/LARGE model sizes fine-tuned on Cardio-Learning^{*} for a more disease-oriented baseline for futher fine-tuning
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+ _{*} Cardio-Learning is the name we gave to the union of several 12-lead ECG datasets including PTB, PTB-XL, CPSC, CPSC-Extra, Georgia, Chapman, Ningbo, SPH, CODE, SaMi-Trop, Hefei.
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+ This dataset, counting 2.4 million ECGs from millions of patients in 4 countries, encompasses 164 different heart-related conditions regardless of the diagnostic role of the ECG
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  ## 📚 Citation
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  If you use our models or find our work useful, please consider citing us: