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A brain abnormality detection and tissue segmentation technique by using dual mode classifier
المؤلفون المشاركون
Viji, Angel
Jayaraj, Jayakumari
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 13، العدد 6A(s) (31 ديسمبر/كانون الأول 2016)، ص ص. 740-747، 8ص.
الناشر
تاريخ النشر
2016-12-31
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
In the analysis of brain Magnetic Resonance Images (MRI), tissue classification is an important issue.
Many works have been done to classify the brain tissues from the brain MRI.
This paper presents a new technique to classify the brain MRI images and to perform tissue classification by using Dual Mode Classifier (DMC).
Initially, the brain MRI images are obtained from the brain databases and features such as covariance and correlation are calculated from the input brain MRI images.
These calculated features are given to Feed Forward Back Propagation Neural Network (FFBNN) to detect whether the given MRI brain image is normal or abnormal.
After detection, the resultant image is subjected to the segmentation process with the use of Optimized Region Growing (ORGW) technique to accomplish efficient segmentation.
Following that, by utilizing Local Binary Pattern (LBP), texture feature is computed from the segmented brain MRI images.
Then this texture feature is given as the input to the DMC which has two branches.
One branch classifies the normal tissues such as Grey Matter (GM), White Matter (WM) and Cerebrospinal Fluid (CF) and the other branch classifies the abnormal tissues such as Tumor and Edema.
The performance of our proposed technique is compared with other techniques such as Conventional Region Growing (RGW), and MRGW.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Viji, Angel& Jayaraj, Jayakumari. 2016. A brain abnormality detection and tissue segmentation technique by using dual mode classifier. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.740-747.
https://search.emarefa.net/detail/BIM-792090
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Viji, Angel& Jayaraj, Jayakumari. A brain abnormality detection and tissue segmentation technique by using dual mode classifier. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.740-747.
https://search.emarefa.net/detail/BIM-792090
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Viji, Angel& Jayaraj, Jayakumari. A brain abnormality detection and tissue segmentation technique by using dual mode classifier. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.740-747.
https://search.emarefa.net/detail/BIM-792090
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 745-746
رقم السجل
BIM-792090
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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