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Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction
Advances in deep learning (DL) have resulted in impressive accuracy in some medical image classification tasks, but often deep models lack interpretability. The ability of these models to explain their decisions is important for fostering clinical trust and facilitating clinical translation. Further...
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| Publié dans: | Med Image Comput Comput Assist Interv |
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| Auteurs principaux: | , , , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7610934/ https://ncbi.nlm.nih.gov/pubmed/34109325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59710-8_28 |
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