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. 2020 Jul 28;3:102. doi: 10.1038/s41746-020-00310-6

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

Shih-Cheng Huang 1,2,✉,#, Tanay Kothari 3,#, Imon Banerjee 1,2,4,5, Chris Chute 3, Robyn L Ball 2, Norah Borus 3, Andrew Huang 3, Bhavik N Patel 5, Pranav Rajpurkar 3, Jeremy Irvin 3, Jared Dunnmon 5, Joseph Bledsoe 6, Katie Shpanskaya 5, Abhay Dhaliwal 7, Roham Zamanian 8,9, Andrew Y Ng 3, Matthew P Lungren 1,2,5,
PMCID: PMC7387525  PMID: 32793812

Correction to: npj Digital Medicine10.1038/s41746-020-0266-y, published online 24 April 2020

The original version of the published Article did not acknowledge the passing of the sixth Author, Norah Borus. To improve clarity, the Author contributions have been updated to include the following: Norah Borus was not able to review the manuscript prior to submission but she was integral to the concept and design phase of the project and contributed significantly to the codebase. Norah Borus passed away on 14th June 2019. Additionally, the second sentence in the second paragraph and the sixth sentence of the penultimate paragraph of the Discussion have been edited for clarity. The HTML and PDF versions of the Article have been corrected.

Contributor Information

Shih-Cheng Huang, Email: mschuang@stanford.edu.

Matthew P. Lungren, Email: mlungren@stanford.edu


Articles from NPJ Digital Medicine are provided here courtesy of Nature Publishing Group

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