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Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting
المؤلفون المشاركون
Popović, Branislav
Zlokolica, Vladimir
Krstanović, Lidija
Velicki, Lazar
Janev, Marko
Obradović, Ratko
Ralević, Nebojsa M.
Jovanov, Ljubomir
Babin, Danilo
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-09-20
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Automatic segmentation of particular heart parts plays an important role in recognition tasks, which is utilized for diagnosis and treatment.
One particularly important application is segmentation of epicardial fat (surrounds the heart), which is shown by various studies to indicate risk level for developing various cardiovascular diseases as well as to predict progression of certain diseases.
Quantification of epicardial fat from CT images requires advance image segmentation methods.
The problem of the state-of-the-art methods for epicardial fat segmentation is their high dependency on user interaction, resulting in low reproducibility of studies and time-consuming analysis.
We propose in this paper a novel semiautomatic approach for segmentation and quantification of epicardial fat from 3D CT images.
Our method is a semisupervised slice-by-slice segmentation approach based on local adaptive morphology and fuzzy c-means clustering.
Additionally, we use a geometric ellipse prior to filter out undesired parts of the target cluster.
The validation of the proposed methodology shows good correspondence between the segmentation results and the manual segmentation performed by physicians.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zlokolica, Vladimir& Krstanović, Lidija& Velicki, Lazar& Popović, Branislav& Janev, Marko& Obradović, Ratko…[et al.]. 2017. Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1181086
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zlokolica, Vladimir…[et al.]. Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting. Journal of Healthcare Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1181086
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zlokolica, Vladimir& Krstanović, Lidija& Velicki, Lazar& Popović, Branislav& Janev, Marko& Obradović, Ratko…[et al.]. Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1181086
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181086
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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