2 citations · 2 across the 1 of their papers we have counts for
2 papers
eess.IV2020
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs
Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun +4
Background: Deep learning has great potential to assist with detecting and triaging critical findings such as pneumoperitoneum on medical images. To be clinically useful, the perfo…
cs.LG2019★ 2 cited
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
Xing Meng, Craig H. Ganoe, Ryan T. Sieberg +2
Machine learning methods have recently achieved high-performance in biomedical text analysis. However, a major bottleneck in the widespread application of these methods is obtainin…