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Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Radiological Society of North America
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233432/ https://www.ncbi.nlm.nih.gov/pubmed/33778563 http://dx.doi.org/10.1148/ryct.2020200082 |
| _version_ | 1783535539602849792 |
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| author | Cao, Yukun Xu, Zhanwei Feng, Jianjiang Jin, Cheng Han, Xiaoyu Wu, Hanping Shi, Heshui |
| author_facet | Cao, Yukun Xu, Zhanwei Feng, Jianjiang Jin, Cheng Han, Xiaoyu Wu, Hanping Shi, Heshui |
| author_sort | Cao, Yukun |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7233432 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Radiological Society of North America |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-72334322020-06-02 Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases Cao, Yukun Xu, Zhanwei Feng, Jianjiang Jin, Cheng Han, Xiaoyu Wu, Hanping Shi, Heshui Radiol Cardiothorac Imaging Images in Cardiothoracic Imaging Radiological Society of North America 2020-03-23 /pmc/articles/PMC7233432/ /pubmed/33778563 http://dx.doi.org/10.1148/ryct.2020200082 Text en 2020 by the Radiological Society of North America, Inc. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
| spellingShingle | Images in Cardiothoracic Imaging Cao, Yukun Xu, Zhanwei Feng, Jianjiang Jin, Cheng Han, Xiaoyu Wu, Hanping Shi, Heshui Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title | Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title_full | Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title_fullStr | Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title_full_unstemmed | Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title_short | Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases |
| title_sort | longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline: illustration of two cases |
| topic | Images in Cardiothoracic Imaging |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233432/ https://www.ncbi.nlm.nih.gov/pubmed/33778563 http://dx.doi.org/10.1148/ryct.2020200082 |
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