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A multimodal deep learning model for cardiac resynchronisation therapy response prediction
We present a novel multimodal deep learning framework for cardiac resynchronisation therapy (CRT) response prediction from 2D echocardiography and cardiac magnetic resonance (CMR) data. The proposed method first uses the ‘nnU-Net’ segmentation model to extract segmentations of the heart over the ful...
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| Publicado no: | Med Image Anal |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7616169/ https://ncbi.nlm.nih.gov/pubmed/35487111 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2022.102465 |
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