A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

Netter A, Duchateau F, Abrao H, Canis M, Martin DC, Bartoli A, Bourdel N, FEMaLe Project Work Group

DOI: 10.1111/aogs.70293
Published: 2026 Oct
Container: Acta obstetricia et gynecologica Scandinavica
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1111/aogs.70293,
  title = {A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.},
  author = {Netter A and Duchateau F and Abrao H and Canis M and Martin DC and Bartoli A and Bourdel N and FEMaLe Project Work Group},
  year = {2026},
  journal = {Acta obstetricia et gynecologica Scandinavica},
  doi = {10.1111/aogs.70293},
  url = {https://doi.org/10.1111/aogs.70293}
}

RIS

TY  - JOUR
TI  - A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.
AU  - Netter A
AU  - Duchateau F
AU  - Abrao H
AU  - Canis M
AU  - Martin DC
AU  - Bartoli A
AU  - Bourdel N
AU  - FEMaLe Project Work Group
PY  - 2026
JO  - Acta obstetricia et gynecologica Scandinavica
DO  - 10.1111/aogs.70293
UR  - https://doi.org/10.1111/aogs.70293
ER  -

APA

A, N., F, D., H, A., M, C., DC, M., A, B., N, B., & Group, F. P. W. (2026). A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.. Acta obstetricia et gynecologica Scandinavica. https://doi.org/10.1111/aogs.70293

Source records

pubmed · retrieved 2026-09-25T23:34:37.378Z