A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

Nirschl JJ, Janowczyk A, Peyster EG, Frank R, Margulies KB, Feldman MD, Madabhushi A.

Open source

DOI: 10.1371/journal.pone.0192726
Published: 2018-04-03
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0192726,
  title = {A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H\&E tissue.},
  author = {Nirschl JJ and  Janowczyk A and  Peyster EG and  Frank R and  Margulies KB and  Feldman MD and  Madabhushi A.},
  year = {2018},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0192726},
  url = {https://doi.org/10.1371/journal.pone.0192726}
}

RIS

TY  - JOUR
TI  - A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.
AU  - Nirschl JJ
AU  -  Janowczyk A
AU  -  Peyster EG
AU  -  Frank R
AU  -  Margulies KB
AU  -  Feldman MD
AU  -  Madabhushi A.
PY  - 2018
JO  - PLoS One
DO  - 10.1371/journal.pone.0192726
UR  - https://doi.org/10.1371/journal.pone.0192726
ER  -

APA

JJ, N., A, J., EG, P., R, F., KB, M., MD, F., & A., M. (2018). A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.. PLoS One. https://doi.org/10.1371/journal.pone.0192726

Source records

europe-pmc · retrieved 2026-09-27T09:10:25.489Z
doaj · retrieved 2026-09-27T09:10:25.500Z