Label‐free coronavirus disease 2019 lesion segmentation based on synthetic healthy lung image subtraction-Reference-Cited by-同舟云学术

Label‐free coronavirus disease 2019 lesion segmentation based on synthetic healthy lung image subtraction

Published:2022-04-22 Issue:7 Volume:49 Page:4632-4641
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Fang Chengyijue¹,Liu Yingao¹,Liu Ying²,Liu Mengqiu²,Qiu Xiaohui³,Li Yang⁴,Wen Jie²,Yang Yidong¹⁵

Affiliation:

1. Department of Engineering and Applied Physics University of Science and Technology of China Hefei China

2. Department of Radiology the First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China

3. Department of Radiology Bozhou People's Hospital Bozhou China

4. Department of Radiology the First Affiliated Hospital of Bengbu Medical College Bengbu China

5. Department of Radiation Oncology the First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15661

Reference32 articles.

1. WHO.Coronavirus (COVID‐19) dashboard with vaccination data.https://covid19.who.int/. Accessed April 6 2021.

2. CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity

3. Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19

4. Diagnosis and treatment of coronavirus disease 2019 (COVID-19): Laboratory, PCR, and chest CT imaging findings

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