FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.

Ahmed F, Sánchez D, Haddi Z, Domingo-Ferrer J

Open source

DOI
10.1016/j.cmpb.2026.109500
Published
2026 Oct
Container
Computer methods and programs in biomedicine
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.cmpb.2026.109500,
  title = {FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.},
  author = {Ahmed F and Sánchez D and Haddi Z and Domingo-Ferrer J},
  year = {2026},
  journal = {Computer methods and programs in biomedicine},
  doi = {10.1016/j.cmpb.2026.109500},
  url = {https://doi.org/10.1016/j.cmpb.2026.109500}
}

RIS

TY  - JOUR
TI  - FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.
AU  - Ahmed F
AU  - Sánchez D
AU  - Haddi Z
AU  - Domingo-Ferrer J
PY  - 2026
JO  - Computer methods and programs in biomedicine
DO  - 10.1016/j.cmpb.2026.109500
UR  - https://doi.org/10.1016/j.cmpb.2026.109500
ER  - 

APA

F, A., D, S., Z, H., & J, D. (2026). FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109500

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