Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data
Alberta Innovates, Natural Sciences and Engineering Research Council of Canada, Killam Trusts, Parkinson Association of Alberta, River Fund at Calgary Foundation, Canada Research Chairs Program.
Authors
- Raissa Souza (ORCID: https://orcid.org/0000-0002-7455-3383)
- Emma A. M. Stanley (ORCID: https://orcid.org/0000-0002-7802-6820)
- Nils D. Forkert (ORCID: https://orcid.org/0000-0003-2556-3224)
- Matthias Wilms (ORCID: https://orcid.org/0000-0001-8845-360X)
Institutions
- University of Calgary (CA)
- Alberta Children's Hospital (CA)
Publication Details
- Journal
- EBioMedicine
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.ebiom.2024.105501
- Citations
- 9
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Calgary Foundation
- Canada Research Chairs
- Killam Trusts
- Alberta Innovates
- Parkinson Vereniging
- Parkinson Association of Alberta
- Natural Sciences and Engineering Research Council of Canada