Mammography datasets and artificial intelligence for breast cancer detection: challenges, bias, and future directions

A. Kaja Mohideen, P. N. Senthil Prakash, M. K. Priyadharshini

Open source

DOI: 10.3389/frai.2026.1933770
Published: 2026-10-20
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1933770,
  title = {Mammography datasets and artificial intelligence for breast cancer detection: challenges, bias, and future directions},
  author = {A. Kaja Mohideen and P. N. Senthil Prakash and M. K. Priyadharshini},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1933770},
  url = {https://doi.org/10.3389/frai.2026.1933770}
}

RIS

TY  - JOUR
TI  - Mammography datasets and artificial intelligence for breast cancer detection: challenges, bias, and future directions
AU  - A. Kaja Mohideen
AU  - P. N. Senthil Prakash
AU  - M. K. Priyadharshini
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1933770
UR  - https://doi.org/10.3389/frai.2026.1933770
ER  -

APA

Mohideen, A. K., Prakash, P. N. S., & Priyadharshini, M. K. (2026). Mammography datasets and artificial intelligence for breast cancer detection: challenges, bias, and future directions. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1933770

Source records

crossref · retrieved 2026-11-08T03:40:12.551Z