Automatic pulmonary ground‐glass opacity nodules detection and classification based on 3D neural network-Reference-Cited by-同舟云学术

Automatic pulmonary ground‐glass opacity nodules detection and classification based on 3D neural network

Published:2022-02-10 Issue:4 Volume:49 Page:2555-2569
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Ma He¹²,Guo Huimin¹,Zhao Mingfang³,Qi Shouliang¹²,Li Heming³,Tian Yumeng³,Li Zhi³,Zhang Guanjing⁴,Yao Yudong⁵,Qian Wei¹

Affiliation:

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

2. Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang China

3. Department of Medical Oncology the First Hospital of China Medical University Shenyang China

4. AnyCheck Health‐IT Co., Ltd. Shenzhen China

5. Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken New Jersey USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15501

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4. BastawrousHA NittaN TsudagawaM.A new CAD system for detecting localized ground glass opacity nodules in lung CT images using cross and coronary section images.IEEE International Workshop on Medical Measurement and Applications 2006 (MeMea 2006).IEEE;2006:54‐47.

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