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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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Bibliografske podrobnosti
izdano v:Artif Intell Med
Main Authors: Kou, Wenjun, Carlson, Dustin A., Baumann, Alexandra J., Donnan, Erica, Luo, Yuan, Pandolfino, John E., Etemadi, Mozziyar
Format: Artigo
Jezik:Inglês
Izdano: 2021
Teme:
Online dostop: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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