PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification

Alek Fröhlich, Thiago Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi

AAAI 2025 pp. 27998-28006

doi:10.1609/AAAI.V39I27.35017 /aaai/2025/frohlich2025aaai-personalizedus/

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Cite

Text

Fröhlich et al. "PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I27.35017

Markdown

[Fröhlich et al. "PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/frohlich2025aaai-personalizedus/) doi:10.1609/AAAI.V39I27.35017

BibTeX

@inproceedings{frohlich2025aaai-personalizedus,
  title     = {{PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification}},
  author    = {Fröhlich, Alek and Ramos, Thiago and Dos Santos, Gustavo Motta Cabello and Buzatto, Isabela Panzeri Carlotti and Izbicki, Rafael and Tiezzi, Daniel Guimarães},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {27998-28006},
  doi       = {10.1609/AAAI.V39I27.35017},
  url       = {https://mlanthology.org/aaai/2025/frohlich2025aaai-personalizedus/}
}