FibroTrack: a standalone deep learning platform for automated fibrosis quantification in muscle and cardiac histology

Anas Odeh, Rahaf Salem, Maher Abu Saleh, Ariel Shemesh, Polina Stein, Ido Livneh, Peleg Hasson

Open source

DOI: 10.1186/s13395-026-00415-8
Published: 2026-01-26
Container: Skeletal Muscle
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13395-026-00415-8,
  title = {FibroTrack: a standalone deep learning platform for automated fibrosis quantification in muscle and cardiac histology},
  author = {Anas Odeh and Rahaf Salem and Maher Abu Saleh and Ariel Shemesh and Polina Stein and Ido Livneh and Peleg Hasson},
  year = {2026},
  journal = {Skeletal Muscle},
  doi = {10.1186/s13395-026-00415-8},
  url = {https://doi.org/10.1186/s13395-026-00415-8}
}

RIS

TY  - JOUR
TI  - FibroTrack: a standalone deep learning platform for automated fibrosis quantification in muscle and cardiac histology
AU  - Anas Odeh
AU  - Rahaf Salem
AU  - Maher Abu Saleh
AU  - Ariel Shemesh
AU  - Polina Stein
AU  - Ido Livneh
AU  - Peleg Hasson
PY  - 2026
JO  - Skeletal Muscle
DO  - 10.1186/s13395-026-00415-8
UR  - https://doi.org/10.1186/s13395-026-00415-8
ER  -

APA

Odeh, A., Salem, R., Saleh, M. A., Shemesh, A., Stein, P., Livneh, I., & Hasson, P. (2026). FibroTrack: a standalone deep learning platform for automated fibrosis quantification in muscle and cardiac histology. Skeletal Muscle. https://doi.org/10.1186/s13395-026-00415-8

Source records

crossref · retrieved 2026-09-27T05:03:09.996Z