HosseinSimchi / META-IQA-CMRImages

This is a pytorch implementation of the paper A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

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META-IQA-CMRImages

Network Structure

Model.png

Training ( Prior Model )

Then, run main.py

Evaluation ( Fine Tune Model )

Then, run evaluation.py

If you use this code, please cite the following article:

Shahabedin Nabavi, Hossein Simchi, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi, A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images, Computer Methods and Programs in Biomedicine, 2023, 107770, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2023.107770. (https://www.sciencedirect.com/science/article/pii/S0169260723004364)

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This is a pytorch implementation of the paper A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

License:MIT License


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Language:Python 100.0%