Automated Assessment of Acute Aortic Dissection on Thoracic CT Using Deep Learning

Authors

Varun Singh, Thomas Jefferson UniversityFollow
Richard Gorniak, MD, Thomas Jefferson UniversityFollow
Adam Flanders, MD, Thomas Jefferson UniversityFollow
Paras Lakhani, MD, Thomas Jefferson UniversityFollow

Files

Description

Purpose

To assess the efficacy of deep convolutional neural networks (DCNNs ) in differentiating acute aortic dissections from non-dissected aortas on thoracic CT.

Publication Date

4-2019

Keywords

CT, deep learning, dissection

Disciplines

Medicine and Health Sciences | Radiology

Recommended Citation

Singh, Varun; Gorniak, MD, Richard; Flanders, MD, Adam; and Lakhani, MD, Paras, "Automated Assessment of Acute Aortic Dissection on Thoracic CT Using Deep Learning" (2019). Department of Radiology Posters. 10.
https://jdc.jefferson.edu/radiologyposters/10