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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure cannot be identified, endomyocardial biopsy (EMB) represents the gold-standard for the evaluation of disease. However, manual EMB interpretation has high inter-rater variability. Deep convolutional n...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5882098/ https://ncbi.nlm.nih.gov/pubmed/29614076 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0192726 |
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