A deep learning framework for histopathological analysis of pixel-level extracellular matrix variation in standard H&E-stained images.

van Breugel M, de Jong E, Buikema HJ, Petoukhov I, Nawijn MC, Burgess JK, Timens W

Open source

DOI
10.1038/s41598-026-56138-9
Published
2026 Jun 22
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-56138-9,
  title = {A deep learning framework for histopathological analysis of pixel-level extracellular matrix variation in standard H\&E-stained images.},
  author = {van Breugel M and de Jong E and Buikema HJ and Petoukhov I and Nawijn MC and Burgess JK and Timens W},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-56138-9},
  url = {https://doi.org/10.1038/s41598-026-56138-9}
}

RIS

TY  - JOUR
TI  - A deep learning framework for histopathological analysis of pixel-level extracellular matrix variation in standard H&E-stained images.
AU  - van Breugel M
AU  - de Jong E
AU  - Buikema HJ
AU  - Petoukhov I
AU  - Nawijn MC
AU  - Burgess JK
AU  - Timens W
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-56138-9
UR  - https://doi.org/10.1038/s41598-026-56138-9
ER  -

APA

M, V. B., E, D. J., HJ, B., I, P., MC, N., JK, B., & W, T. (2026). A deep learning framework for histopathological analysis of pixel-level extracellular matrix variation in standard H&E-stained images.. Scientific reports. https://doi.org/10.1038/s41598-026-56138-9

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