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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Detalles Bibliográficos
Autores principales: Nirschl, Jeffrey J., Janowczyk, Andrew, Peyster, Eliot G., Frank, Renee, Margulies, Kenneth B., Feldman, Michael D., Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882098/
https://www.ncbi.nlm.nih.gov/pubmed/29614076
http://dx.doi.org/10.1371/journal.pone.0192726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882098/
https://www.ncbi.nlm.nih.gov/pubmed/29614076
http://dx.doi.org/10.1371/journal.pone.0192726

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