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DUCK-Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology — Europe PMC PMID:42711623

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42711623
DOI: 10.1002/path.70113
License (as archived): solo-consultazione
Archived: 2026-11-08T02:30:26.288Z
SHA-256 of the archived text: ea9ca0f7710d9efcc981d521998b72ed5d028ed4f8b1fc7f8d4f4750a659db10
Stable URL of this page: https://metraipolis.com/documento/dc_162cfdc284ab

How to cite

DUCK-Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology — Europe PMC PMID:42711623 — Europe PMC (en), https://europepmc.org/article/MED/42711623 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_162cfdc284ab (Metraipolis archive dc_162cfdc284ab, sha256 ea9ca0f7710d9efcc981d521998b72ed5d028ed4f8b1fc7f8d4f4750a659db10)

BibTeX

@misc{dc162cfdc284ab,
  title = {DUCK-Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology — Europe PMC PMID:42711623},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42711623},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_162cfdc284ab; sha256 ea9ca0f7710d9efcc981d521998b72ed5d028ed4f8b1fc7f8d4f4750a659db10},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42711623. Agents can read the archived copy with the MCP tool read_document.