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Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review

Prospero Protocol | Arxiv Preprint | Cite

DataExtractionTemplate.xlsx is the form used for data extraction in the review.

This review follows PRISMA 2020 reporting guidelines and uses PROBAST to assess the risk of bias of included research.

Reference

Breen, J., Allen, K., Zucker, K., Adusumilli, P., Scarsbrook, A., Hall, G., Orsi, N.M. and Ravikumar, N., 2023. Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. arXiv preprint arXiv:2303.18005.

@article{breen2023artificial,
  title={Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review},
  author={Breen, Jack and Allen, Katie and Zucker, Kieran and Adusumilli, Pratik and Scarsbrook, Andy and Hall, Geoff and Orsi, Nicolas M and Ravikumar, Nishant},
  journal={arXiv preprint arXiv:2303.18005},
  year={2023}
}

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Diagnostic Artificial Intelligence in Histopathology of Ovarian Cancer: A Systematic Review

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