Breast Density

Breast density assessment in mammography is crucial for breast cancer risk prediction and screening efficacy, as denser breasts are associated with higher cancer risk and reduced mammographic sensitivity. Current research focuses on improving the accuracy and generalizability of automated breast density classification using deep learning models, including U-Nets and vision transformers, often incorporating techniques like federated learning and data augmentation (e.g., attention-guided erasing) to address data heterogeneity and variability in expert annotations. These advancements aim to enhance the reliability and clinical utility of computer-aided diagnosis systems for breast density, ultimately improving breast cancer detection and risk stratification.

Papers

October 31, 2024

Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
Arianna Bunnell, Thomas Wolfgruber, Brandon Quon, Kailee Hung, Brenda Hernandez, Peter Sadowski, John A. Shepherd
Breast Cancer Ultrasound Image Breast Density BI Rad

May 22, 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge
Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatele, Kaouther Mouhebe, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
Federated Learning Key Result Realistic Evaluation Digital Mammogram Federated Learning Algorithm Breast Density

January 8, 2024

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas Maier
Augmentation Technique Erasure Method VinDr CXR Breast Density Dense Breast

June 12, 2023

In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection
Huy T. Nguyen, Thinh B. Lam, Quan D. D. Tran, Minh T. Nguyen, Dat T. Chung, Vinh Q. Dinh
Generalization Performance Domain Adaptive Object Detection Mammogram Classification VinDr CXR Breast Density

April 20, 2023

Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng
Deep Learning Contrastive Learning Domain Generalization Image Analysis Mammogram Classification Breast Density

October 8, 2022

The effect of variable labels on deep learning models trained to predict breast density
Steven Squires, Elaine F. Harkness, D. Gareth Evans, Susan M. Astley
Deep Learning Model Mixed Effect Variable Model Dense Label Breast Density Dense Breast

June 23, 2022

Three Applications of Conformal Prediction for Rating Breast Density in Mammography
Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Cramer
Deep Learning Financial Application Conformal Prediction Mammography Report Breast Density Dense Breast

June 11, 2022

MammoFL: Mammographic Breast Density Estimation using Federated Learning
Ramya Muthukrishnan, Angelina Heyler, Keshava Katti, Sarthak Pati, Walter Mankowski, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher Scott, Stacey Winham, Celine Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas
Breast Density

February 16, 2022

A multi-reconstruction study of breast density estimation using Deep Learning
Vikash Gupta, Mutlu Demirer, Robert W. Maxwell, Richard D. White, Barbaros Selnur Erdal
Deep Learning Density Estimation Breast Density Dense Breast

December 2, 2021

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
Cancer Diagnosis Ordinal Classification Breast Density

Breast Density

Papers

Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification

In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

The effect of variable labels on deep learning models trained to predict breast density

Three Applications of Conformal Prediction for Rating Breast Density in Mammography

MammoFL: Mammographic Breast Density Estimation using Federated Learning

A multi-reconstruction study of breast density estimation using Deep Learning

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer