A novel lung nodule accurate detection of computerized tomography images based on convolutional neural network and probability graph model-Reference-Cited by-同舟云学术

A novel lung nodule accurate detection of computerized tomography images based on convolutional neural network and probability graph model

Published:2022-07-09 Issue:5 Volume:38 Page:1728-1747
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Xia Xunpeng¹^ORCID,Zhang Rongfu¹,Yao Xufeng²,Huang Gang²³⁴,Tang Tiequn¹

Affiliation:

1. School of Optical‐Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

2. College of Medical Imaging Shanghai University of Medicine and Health Sciences Shanghai China

3. Shanghai Key Laboratory of Molecular Imaging Zhoupu Hospital, Shanghai University of Medicine and Health Sciences Shanghai China

4. Shanghai Key Laboratory of Molecular Imaging Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences Shanghai China

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Molecular Imaging

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12531

Reference33 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection

3. Segmentation and classification of ground glass nodule on CT images

4. Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection

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