most citedDeep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2020★ 2 cited

Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application

Vikash Gupta, Clayton Taylor, Sarah Bonnet +5

Screening mammograms are a routine imaging exam performed to detect breast cancer in its early stages to reduce morbidity and mortality attributed to this disease. In order to maxi…