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Clinical Decision Support System for Patients with Cardiopulmonary Function Using Image Processing

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Author(s)
Hee-Joon ParkSeok-Tae SeoByung-Seop Song
Keimyung Author(s)
Park, Hee Jun
Department
Dept. of Biomedical Engineering (의용공학과)
Journal Title
Indian Journal of Science and Technology
Issued Date
2015
Volume
8
Issue
S8
Abstract
Clinical decision support system for chest X-ray images was proposed in this paper, which is based on image processing and analysis methods to evaluate the normality of X-ray images. To segment lung regions from the chest X-ray images, threshold and morphological methods were applied. The feature selection and image measurement were performed to evaluate the normality of chest X-ray images. The results demonstrate that the segmentation results differ only marginally from the actual contours of lung regions and provide similar results with actual lung regions. Moreover, based on the measurement and feature selection, the interpretation of normality was facilitated, and the results of interpretation were similar with the diagnosis made by clinical experts.
Keimyung Author(s)(Kor)
박희준
Publisher
School of Medicine
Citation
Hee-Joon Park et al. (2015). Clinical Decision Support System for Patients with Cardiopulmonary Function Using Image Processing. Indian Journal of Science and Technology, 8(S8), 83–88. doi: 10.17485/ijst/2015/v8iS8/64331
Type
Article
ISSN
0974-5645
DOI
10.17485/ijst/2015/v8iS8/64331
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/35861
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
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