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

Authors
Hee-Joon ParkSeok-Tae SeoByung-Seop Song
Department
Dept. of Biomedical Engineering (의용공학과)
Issue Date
2015
Citation
Indian Journal of Science and Technology, Vol.8(S8) : 83-88, 2015
ISSN
0974-5645
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.
URI
http://kumel.medlib.dsmc.or.kr/handle/2015.oak/35861
Appears in Collections:
1. Journal Papers (연구논문) > 1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
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