An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
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Updated
Jul 25, 2024 - Jupyter Notebook
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
Code to reproduce tables and figures from Leibig et al. 2022: Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis, The Lancet Digital Health
Developing a Confidence Measure Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
MICCAI 2024: Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
This is a curated list of clinics offering free breast cancer screening during the Breast Cancer Awareness Month of October.
This is a curated list of clinics offering free breast cancer screening during the Breast Cancer Awareness Month of October.
Shiny app visualizer for agent-based model in R simulating rural breast cancer screening uptake, incorporating race, poverty, insurance, and access-to-care dynamics.
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