Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems
Joint Authors
Qiu, Shi
Sun, Jingtao
Zhou, Tao
Gao, Guilong
He, Zhenan
Liang, Ting
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules.
In order to effectively extract the image feature of a pulmonary nodule for the spiculation sign distinguishment, a new spiculation sign recognition model is proposed based on the doctors’ diagnosis process of pulmonary nodules.
A maximum density projection model is established to fuse the local three-dimensional information into the two-dimensional image.
The complete boundary of a pulmonary nodule is extracted by the improved Snake model, which can take full advantage of the parallel calculation of the Spike Neural P Systems to build a new neural network structure.
In this paper, our experiments show that the proposed algorithm can accurately extract the boundary of a pulmonary nodule and effectively improve the recognition rate of the spiculation sign.
American Psychological Association (APA)
Qiu, Shi& Sun, Jingtao& Zhou, Tao& Gao, Guilong& He, Zhenan& Liang, Ting. 2020. Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136038
Modern Language Association (MLA)
Qiu, Shi…[et al.]. Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1136038
American Medical Association (AMA)
Qiu, Shi& Sun, Jingtao& Zhou, Tao& Gao, Guilong& He, Zhenan& Liang, Ting. Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136038