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

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Autores principales: 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
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/7f587aa8fdaf4c4a8195a69df6031a63
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spelling oai:doaj.org-article:7f587aa8fdaf4c4a8195a69df6031a632021-12-02T16:31:01ZAuthor Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging10.1038/s41746-020-00310-62398-6352https://doaj.org/article/7f587aa8fdaf4c4a8195a69df6031a632020-07-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00310-6https://doaj.org/toc/2398-6352An amendment to this paper has been published and can be accessed via a link at the top of the paper.Shih-Cheng HuangTanay KothariImon BanerjeeChris ChuteRobyn L. BallNorah BorusAndrew HuangBhavik N. PatelPranav RajpurkarJeremy IrvinJared DunnmonJoseph BledsoeKatie ShpanskayaAbhay DhaliwalRoham ZamanianAndrew Y. NgMatthew P. LungrenNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-1 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
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
Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
description An amendment to this paper has been published and can be accessed via a link at the top of the paper.
format article
author 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
author_facet 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
author_sort Shih-Cheng Huang
title Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
title_short Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
title_full Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
title_fullStr Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
title_full_unstemmed Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
title_sort author correction: penet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric ct imaging
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/7f587aa8fdaf4c4a8195a69df6031a63
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