16 citations · 30 across the 4 of their papers we have counts for
Showing 2019Show all
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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…
eess.IV2019★ 6 cited
Validation of a deep learning mammography model in a population with low screening rates
Kevin Wu, Eric Wu, Yaping Wu +4
A key promise of AI applications in healthcare is in increasing access to quality medical care in under-served populations and emerging markets. However, deep learning models are o…