no code implementations • 10 Nov 2021 • Engin Dikici, Xuan V. Nguyen, Matthew Bigelow, John. L. Ryu, Luciano M. Prevedello
The framework utilizing only the labeled exams produced 9. 23 false positives for 90% BM detection sensitivity; whereas, the framework using the introduced learning strategy led to ~9% reduction in false detections (i. e., 8. 44) for the same sensitivity level.
no code implementations • 27 May 2021 • Engin Dikici, Xuan V. Nguyen, Matthew Bigelow, Luciano M. Prevedello
In this study, we introduce a novel BM candidate detection CNN (cdCNN) to replace this classical IP stage.
