Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

NPJ Digit Med. 2020 Jul 28:3:102. doi: 10.1038/s41746-020-00310-6. eCollection 2020.

Shih-Cheng Huang^#^{1

2}, Tanay Kothari^#³, Imon Banerjee^{1

2

4

5}, Chris Chute³, Robyn L Ball², Norah Borus³, Andrew Huang³, Bhavik N Patel⁵, Pranav Rajpurkar³, Jeremy Irvin³, Jared Dunnmon⁵, Joseph Bledsoe⁶, Katie Shpanskaya⁵, Abhay Dhaliwal⁷, Roham Zamanian^{8

9}, Andrew Y Ng³, Matthew P Lungren^{1

2

5}

¹ Department of Biomedical Data Science, Stanford University, Stanford, CA USA.
² Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, CA USA.
³ Department of Computer Science, Stanford University, Stanford, CA USA.
⁴ Department of Biomedical Informatics, Emory University, Atlanta, GA USA.
⁵ Department of Radiology, Stanford University, Stanford, CA USA.
⁶ Department of Emergency Medicine, Intermountain Medical Center, Salt Lake Valley, UT USA.
⁷ Michigan State University, College of Human Medicine, East Lansing, MI USA.
⁸ Department of Pulmonary Critical Care Medicine, Stanford University, Stanford, CA USA.
⁹ Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford University, Stanford, CA USA.

^# Contributed equally.

Abstract

[This corrects the article DOI: 10.1038/s41746-020-0266-y.].

Keywords: Cardiovascular diseases; Radiography.