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Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine
Joint Authors
Sun, H. M.
Wu, Ming-Chi
Chan, Yuan-Hao
Zeng, Yong-Zhi
Wu, Hsien-Chu
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis of diseases more accurately.
Automatic medical image segmentation is difficult due to the varying image quality among equipment.
In this paper, the automatic method employed image multiscale intensity texture analysis and segmentation to solve this problem.
In this paper, firstly, SVM is applied to identify common pneumothorax.
Features are extracted from lung images with the LBP (local binary pattern).
Then, classification of pneumothorax is determined by SVM.
Secondly, the proposed automatic pneumothorax detection method is based on multiscale intensity texture segmentation by removing the background and noises in chest images for segmenting abnormal lung regions.
The segmentation of abnormal regions is used for texture transformed from computing multiple overlapping blocks.
The rib boundaries are identified with Sobel edge detection.
Finally, in obtaining a complete disease region, the rib boundary is filled up and located between the abnormal regions.
American Psychological Association (APA)
Chan, Yuan-Hao& Zeng, Yong-Zhi& Wu, Hsien-Chu& Wu, Ming-Chi& Sun, H. M.. 2018. Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187091
Modern Language Association (MLA)
Chan, Yuan-Hao…[et al.]. Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine. Journal of Healthcare Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1187091
American Medical Association (AMA)
Chan, Yuan-Hao& Zeng, Yong-Zhi& Wu, Hsien-Chu& Wu, Ming-Chi& Sun, H. M.. Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187091