Segmentation and classification of ground glass nodule on CT images-Reference-Cited by-同舟云学术

Segmentation and classification of ground glass nodule on CT images

Published:2021-05-31 Issue:4 Volume:31 Page:2204-2213
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Wang Yanqiu¹^ORCID,Yue Shihong¹,Chen Jun²³,Li Qi¹

Affiliation:

1. School of Electrical and Information Engineering Tianjin University Tianjin China

2. Department of Lung Cancer Surgery Tianjin Medical University General Hospital Tianjin China

3. Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China

Funder

National Natural Science Foundation of China

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.22614

Reference24 articles.

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2. Overview and Strategic Management of Subsolid Pulmonary Nodules

3. CT Screening for Lung Cancer

4. JungJ HongH GooJM.Automatic segmentation of ground‐glass opacity nodule on chest CT images by histogram modeling and local contrast. Medical Imaging 2012: Computer‐Aided Diagnosis; 2012.https://doi.org/10.1117/12.911769.

5. LiuXB HanGH ZhaoXM ZhaoYF ZhouCW HuangS.3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels. Medical Imaging 2018: Computer‐Aided Diagnosis; 2018.https://doi.org/10.1117/12.2293217.

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