A coarse‐refine segmentation network for COVID‐19 CT images-Reference-Cited by-同舟云学术

A coarse‐refine segmentation network for COVID‐19 CT images

Published:2021-11-18 Issue:2 Volume:16 Page:333-343
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Huang Ziwang¹^ORCID,Li Liang²,Zhang Xiang³,Song Ying⁴,Chen Jianwen¹^ORCID,Zhao Huiying³,Chong Yutian⁵,Wu Hejun¹,Yang Yuedong¹^ORCID,Shen Jun³^ORCID,Zha Yunfei²

Affiliation:

1. School of Data and Computer Science Sun Yat‐Sen University Guangzhou China

2. Department of Radiology Renmin Hospital of Wuhan University Wuhan China

3. Department of Radiology Sun Yat‐Sen Memorial Hospital Sun Yat‐Sen University Guangzhou China

4. School of Systems Sciences and Engineering Sun Yat‐Sen University Guangzhou China

5. Department of Radiology The Third Affiliated Hospital of Sun Yat‐Sen University Guangzhou China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12278

Reference38 articles.

1. A Novel Coronavirus from Patients with Pneumonia in China, 2019

2. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management

3. Segmentation of the pulmonary nodule and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule

4. Empirical greedy machine‐based automatic liver segmentation in CT images

5. Volumetric lung nodule segmentation in thoracic CT scan using freehand sketch

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