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A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses
المؤلفون المشاركون
Daoud, Mohammad I.
Bdair, Tariq M.
Al-Najar, Mahasen
Alazrai, Rami
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-29
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Ultrasound imaging is commonly used for breast cancer diagnosis, but accurate interpretation of breast ultrasound (BUS) images is often challenging and operator-dependent.
Computer-aided diagnosis (CAD) systems can be employed to provide the radiologists with a second opinion to improve the diagnosis accuracy.
In this study, a new CAD system is developed to enable accurate BUS image classification.
In particular, an improved texture analysis is introduced, in which the tumor is divided into a set of nonoverlapping regions of interest (ROIs).
Each ROI is analyzed using gray-level cooccurrence matrix features and a support vector machine classifier to estimate its tumor class indicator.
The tumor class indicators of all ROIs are combined using a voting mechanism to estimate the tumor class.
In addition, morphological analysis is employed to classify the tumor.
A probabilistic approach is used to fuse the classification results of the multiple-ROI texture analysis and morphological analysis.
The proposed approach is applied to classify 110 BUS images that include 64 benign and 46 malignant tumors.
The accuracy, specificity, and sensitivity obtained using the proposed approach are 98.2%, 98.4%, and 97.8%, respectively.
These results demonstrate that the proposed approach can effectively be used to differentiate benign and malignant tumors.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Daoud, Mohammad I.& Bdair, Tariq M.& Al-Najar, Mahasen& Alazrai, Rami. 2016. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100172
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Daoud, Mohammad I.…[et al.]. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1100172
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Daoud, Mohammad I.& Bdair, Tariq M.& Al-Najar, Mahasen& Alazrai, Rami. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100172
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100172
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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