Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems-Reference-Cited by-同舟云学术

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Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems

Published:2023-02 Issue:2 Volume:27 Page:625-635
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhu Hongbo¹^ORCID,Han Guangjie²^ORCID,Hou Jianxia³^ORCID,Liu Xiangliang¹,Ma Yue⁴

Affiliation:

1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China

2. Department of Information and Communication System, Hohai University, Changzhou, China

3. Department of Periodontology, Peking University and Hospital of Stomatology, Beijing, China

4. Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China

Funder

National Natural Science Foundation of China

High-level Academic Achievement Construction Projects of Shenyang Ligong University

Talent Introduction Program of Shenyang Ligong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10036335/09941180.pdf?arnumber=9941180

Reference51 articles.

1. MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection

2. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

3. A Novel Approach for Lung Nodules Segmentation in Chest CT Using Level Sets

4. Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy

5. Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

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