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컴퓨터 보조진단을 위한 초음파 영상에서갑상선 결절의 텍스쳐 분석

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dc.contributor.author유선국-
dc.contributor.author장원석-
dc.date.accessioned2017-11-02T08:39:08Z-
dc.date.available2017-11-02T08:39:08Z-
dc.date.issued2017-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/154719-
dc.description.abstractAccording 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.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisher한국멀티미디어학회-
dc.relation.isPartOfJournal of Korea Multimedia Society (멀티미디어학회논문지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title컴퓨터 보조진단을 위한 초음파 영상에서갑상선 결절의 텍스쳐 분석-
dc.title.alternativeTexture analysis of Thyroid Nodules in Ultrasound Image for Computer Aided Diagnostic system-
dc.typeArticle-
dc.publisher.locationKorea-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Medical Engineering-
dc.contributor.googleauthor박병은-
dc.contributor.googleauthor장원석-
dc.contributor.googleauthor유선국-
dc.contributor.localIdA04793-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ01476-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.alternativeNameChang, Won Seok-
dc.contributor.affiliatedAuthorChang, Won Seok-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.citation.titleJournal of Korea Multimedia Society (멀티미디어학회논문지)-
dc.citation.volume20-
dc.citation.number1-
dc.citation.startPage43-
dc.citation.endPage50-
dc.identifier.bibliographicCitationJournal of Korea Multimedia Society (멀티미디어학회논문지), Vol.20(1) : 43-50, 2017-
dc.date.modified2017-11-01-
dc.identifier.rimsid44200-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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