Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details.

Banerjee S, Bertram CA, Weiss V, Ammeling J, Conrad T, Porsche N, Klopfleisch R, Stroblberger C, Kaltenecker C, Breininger K, Aubreville M

Open source

DOI: 10.1177/03009858261459452
Published: 2026 Jun 30
Container: Veterinary pathology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/03009858261459452,
  title = {Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details.},
  author = {Banerjee S and Bertram CA and Weiss V and Ammeling J and Conrad T and Porsche N and Klopfleisch R and Stroblberger C and Kaltenecker C and Breininger K and Aubreville M},
  year = {2026},
  journal = {Veterinary pathology},
  doi = {10.1177/03009858261459452},
  url = {https://doi.org/10.1177/03009858261459452}
}

RIS

TY  - JOUR
TI  - Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details.
AU  - Banerjee S
AU  - Bertram CA
AU  - Weiss V
AU  - Ammeling J
AU  - Conrad T
AU  - Porsche N
AU  - Klopfleisch R
AU  - Stroblberger C
AU  - Kaltenecker C
AU  - Breininger K
AU  - Aubreville M
PY  - 2026
JO  - Veterinary pathology
DO  - 10.1177/03009858261459452
UR  - https://doi.org/10.1177/03009858261459452
ER  -

APA

S, B., CA, B., V, W., J, A., T, C., N, P., R, K., C, S., C, K., K, B., & M, A. (2026). Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details.. Veterinary pathology. https://doi.org/10.1177/03009858261459452

Source records

pubmed · retrieved 2026-09-26T13:58:20.099Z