<scp>COVID</scp> ‐19 lung infection segmentation from chest <scp>CT</scp> images based on <scp>CAPA‐ResUNet</scp>-Reference-Cited by-同舟云学术

COVID ‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet

Published:2022-10-12 Issue:1 Volume:33 Page:6-17
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Ma Lu¹^ORCID,Song Shuni²,Guo Liting³,Tan Wenjun⁴⁵,Xu Lisheng³⁵⁶

Affiliation:

1. School of Science Northeastern University Shenyang China

2. Guangdong Peizheng College Guangzhou China

3. College of Medicine and Biological Information Engineering Northeastern University Shenyang China

4. School of Computer Science and Engineering Northeastern University Shenyang China

5. Key Laboratory of Medical Image Computing Ministry of Education Shenyang Liaoning China

6. Neusoft Research of Intelligent Healthcare Technology, Co. Ltd. Shenyang Liaoning China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22819

Reference46 articles.

1. Lancet. 2020;395(10223):470‐473.

2. Organization WH.Weekly epidemiological update on COVID‐19.2022. Accessed January 6 2022.https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/situation‐reports.

3. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

4. Chest CT versus RT-PCR for the detection of COVID-19: systematic review and meta-analysis of comparative studies

5. Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT

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