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컴퓨터 보조진단을 위한 초음파 영상에서갑상선 결절의 텍스쳐 분석

Other Titles
 Texture analysis of Thyroid Nodules in Ultrasound Image for Computer Aided Diagnostic system 
Authors
 박병은  ;  장원석  ;  유선국 
Citation
 Journal of Korea Multimedia Society (멀티미디어학회논문지), Vol.20(1) : 43-50, 2017 
Journal Title
 Journal of Korea Multimedia Society (멀티미디어학회논문지) 
ISSN
 1229-7771 
Issue Date
2017
Abstract
According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
Chang, Won Seok(장원석) ORCID logo https://orcid.org/0000-0002-4925-3549
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/154719
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