54 citations · 54 across the 1 of their papers we have counts for
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cs.CV2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner +7
Hip fractures are a leading cause of death and disability among older adults. Hip fractures are also the most commonly missed diagnosis on pelvic radiographs. Computer-Aided Diagno…
cs.CV2017★ 54 cited
Detecting hip fractures with radiologist-level performance using deep neural networks
William Gale, Luke Oakden-Rayner, Gustavo Carneiro +2
We developed an automated deep learning system to detect hip fractures from frontal pelvic x-rays, an important and common radiological task. Our system was trained on a decade of…