Research on Lung Nodule Detection Based on Improved Target Detection Network
Joint Authors
Li, Ye
Wu, Qian
Sun, Hongwei
Wang, Xuewei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Lung nodules are an early symptom of lung cancer.
The earlier they are found, the more beneficial it is for treatment.
However, in practice, Chinese doctors are likely to cause misdiagnosis.
Therefore, deep learning is introduced, an improved target detection network is used, and public datasets are used to diagnose and identify lung nodules.
This paper selects the Mask-RCNN network and uses the dense block structure of Densenet and the channel shuffle convolution method to improve the Mask-RCNN network.
The experimental results prove that proposed algorithm is extremely effective.
American Psychological Association (APA)
Li, Ye& Wu, Qian& Sun, Hongwei& Wang, Xuewei. 2020. Research on Lung Nodule Detection Based on Improved Target Detection Network. Complexity،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1143087
Modern Language Association (MLA)
Li, Ye…[et al.]. Research on Lung Nodule Detection Based on Improved Target Detection Network. Complexity No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1143087
American Medical Association (AMA)
Li, Ye& Wu, Qian& Sun, Hongwei& Wang, Xuewei. Research on Lung Nodule Detection Based on Improved Target Detection Network. Complexity. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1143087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143087