Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation-Reference-Cited by-同舟云学术

Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

Published:2021-02-06 Issue:3 Volume:48 Page:1197-1210
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Ma Jun¹,Wang Yixin²,An Xingle³,Ge Cheng⁴,Yu Ziqi⁵,Chen Jianan⁶,Zhu Qiongjie⁷,Dong Guoqiang⁷,He Jian⁷,He Zhiqiang⁸,Cao Tianjia³,Zhu Yuntao⁹,Nie Ziwei⁹,Yang Xiaoping⁹

Affiliation:

1. Department of Mathematics Nanjing University of Science and Technology Nanjing210094P. R. China

2. Institute of Computing Technology Chinese Academy of SciencesUniversity of Chinese Academy of Sciences Beijing100190P. R. China

3. China Electronics Cloud Brain (Tianjin) Technology CO., Ltd Tianjin300309P. R. China

4. Institute of Bioinformatics and Medical Engineering Jiangsu University of Technology Changzhou213001P. R. China

5. Institute of Science and Technology for Brain‐inspired Intelligence Fudan University Shanghai200433P. R. China

6. Department of Medical Biophysics University of Toronto Toronto ONM5G 1L7Canada

7. Department of Radiology Nanjing Drum Tower Hospitalthe Affiliated Hospital of Nanjing University Medical School Nanjing210008P. R. China

8. Lenovo Ltd. Beijing100094P. R. China

9. Department of Mathematics Nanjing University Nanjing210093P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14676

Reference47 articles.

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2. Diagnosis, Prevention, and Treatment of Thromboembolic Complications in COVID-19: Report of the National Institute for Public Health of the Netherlands

3. Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic: CHEST Expert Panel Report

4. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

5. WangS KangB MaJ et al.A deep learning algorithm using ct images to screen for corona virus disease (covid‐19). MedRxiv;2020.

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