Optimisation analysis of pulmonary nodule diagnostic test based on deep belief nets-Reference-Cited by-同舟云学术

Optimisation analysis of pulmonary nodule diagnostic test based on deep belief nets

Published:2020-04-08 Issue:7 Volume:14 Page:1227-1232
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Wei¹,Xia Wenhua¹,Xie Yuanliang¹,Mao Shilong¹,Li Rong¹²^ORCID

Affiliation:

1. Department of Radiology and ImagingThe Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and TechnologyWuhan430014People's Republic of China

2. Department of PediatricsThe Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and TechnologyWuhan430014People's Republic 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/iet-ipr.2019.1022

Reference28 articles.

1. A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists

2. An assisted diagnosis system for detection of early pulmonary nodule in computed tomography images;Liu J.K.;J. Med. Syst.,2017

3. Value of gemstone spectral CT imaging in diagnosis of solitary pulmonary nodule;Wang S.Y.;Zhonghua Yi Xue Za Zhi,2016

4. Solitary pulmonary nodule: increasing diagnosis and accuracy of biopsy by biparametric MR imaging;Scialpi M.;Lung India,2018

5. Needle‐based confocal laser endomicroscopy in the diagnosis of peripheral pulmonary nodule: a preliminary report;Su Z.;J. Thorac. Dis.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Segmentation of tumor region in respiratory disease by extended algorithm;International Journal of Modern Physics C;2023-06-06