most citedRobust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Building Machine Learning Challenges for Anomaly Detection in Science

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148

Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…

eess.IV2019★ 2 cited

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

William Lotter, Abdul Rahman Diab, Bryan Haslam +10

Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018. To achieve earlier breast cancer detection, screening x-ray mammography is recommended by…