Deep learning-driven 3-D histopathology method: a pipeline for cellular-resolution myocarditis analysis.

Nieth A, Karmaker P, Martinez Naya N, Saad AG, Condor Capcha JM, Shehadeh LA

Open source

DOI
10.1152/ajpheart.00265.2026
Published
2026 Aug 1
Container
American journal of physiology. Heart and circulatory physiology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1152/ajpheart.00265.2026,
  title = {Deep learning-driven 3-D histopathology method: a pipeline for cellular-resolution myocarditis analysis.},
  author = {Nieth A and Karmaker P and Martinez Naya N and Saad AG and Condor Capcha JM and Shehadeh LA},
  year = {2026},
  journal = {American journal of physiology. Heart and circulatory physiology},
  doi = {10.1152/ajpheart.00265.2026},
  url = {https://doi.org/10.1152/ajpheart.00265.2026}
}

RIS

TY  - JOUR
TI  - Deep learning-driven 3-D histopathology method: a pipeline for cellular-resolution myocarditis analysis.
AU  - Nieth A
AU  - Karmaker P
AU  - Martinez Naya N
AU  - Saad AG
AU  - Condor Capcha JM
AU  - Shehadeh LA
PY  - 2026
JO  - American journal of physiology. Heart and circulatory physiology
DO  - 10.1152/ajpheart.00265.2026
UR  - https://doi.org/10.1152/ajpheart.00265.2026
ER  - 

APA

A, N., P, K., N, M. N., AG, S., JM, C. C., & LA, S. (2026). Deep learning-driven 3-D histopathology method: a pipeline for cellular-resolution myocarditis analysis.. American journal of physiology. Heart and circulatory physiology. https://doi.org/10.1152/ajpheart.00265.2026

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