Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model
المؤلفون المشاركون
Yeboah, Yao
Tian, Lianfang
Ou, Shanxing
Li, Bin
Chen, Kan
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-04-16
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The segmentation and detection of various types of nodules in a Computer-aided detection (CAD) system present various challenges, especially when (1) the nodule is connected to a vessel and they have very similar intensities; (2) the nodule with ground-glass opacity (GGO) characteristic possesses typical weak edges and intensity inhomogeneity, and hence it is difficult to define the boundaries.
Traditional segmentation methods may cause problems of boundary leakage and “weak” local minima.
This paper deals with the above mentioned problems.
An improved detection method which combines a fuzzy integrated active contour model (FIACM)-based segmentation method, a segmentation refinement method based on Parametric Mixture Model (PMM) of juxta-vascular nodules, and a knowledge-based C-SVM (Cost-sensitive Support Vector Machines) classifier, is proposed for detecting various types of pulmonary nodules in computerized tomography (CT) images.
Our approach has several novel aspects: (1) In the proposed FIACM model, edge and local region information is incorporated.
The fuzzy energy is used as the motivation power for the evolution of the active contour.
(2) A hybrid PMM Model of juxta-vascular nodules combining appearance and geometric information is constructed for segmentation refinement of juxta-vascular nodules.
Experimental results of detection for pulmonary nodules show desirable performances of the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Bin& Chen, Kan& Tian, Lianfang& Yeboah, Yao& Ou, Shanxing. 2013. Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-477789
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Bin…[et al.]. Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-477789
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Bin& Chen, Kan& Tian, Lianfang& Yeboah, Yao& Ou, Shanxing. Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-477789
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-477789
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر