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A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder
High-resolution manometry (HRM) is the primary method for diagnosing esophageal motility disorders and its interpretation and classification are based on variables (features) from data of each swallow. Modeling and learning the semantics directly from raw swallow data could not only help automate th...
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| Publicado no: | Artif Intell Med |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7901248/ https://ncbi.nlm.nih.gov/pubmed/33581826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2020.102006 |
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