Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging (npj Digital Medicine, (2020), 3, 1, (61), 10.1038/s41746-020-0266-y)

Shih Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren

Research output: Contribution to journalComment/debatepeer-review

Abstract

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.

Original languageEnglish (US)
Article number102
Journalnpj Digital Medicine
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Informatics
  • Health Information Management
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging (npj Digital Medicine, (2020), 3, 1, (61), 10.1038/s41746-020-0266-y)'. Together they form a unique fingerprint.

Cite this