Adaptive technique depending on region growing and soft clustering to detect tumors in different modalities of MRI brain images
المؤلف
المصدر
Journal of Babylon University : Journal of Applied and Pure Sciences
العدد
المجلد 24، العدد 5 (31 ديسمبر/كانون الأول 2016)، ص ص. 1333-1342، 10ص.
الناشر
تاريخ النشر
2016-12-31
دولة النشر
العراق
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Brain tumor is a very dangerous disease and life threatening, so early detection of the tumor is a vital task.
Many techniques and algorithms are presented to enable doctors for fast and accurate diagnosis of tumors in MRI brain images.
In this study, analytical study of Region Growing segmentation method with different threshold values ranged from 10 to 35, with steps of 5, is proposed.
In addition, an adaptive technique is proposed, which is Region Growing based on the fuzzy clustering scheme to investigate the performance of this algorithm by implementing it on FCM clustered images.
The adopted MRI images are of different modalities and different orientations to test the ability of the adaptive technique to segment different modalities of MRI images.
The results showed that, utilizing different values of the threshold in proceeding of Region Growing algorithm produced different segmented images‟ properties.
When the fine details of the processed images and their objects are the goal, low values of threshold must be adopted, while when isolating of the hole tumor regions is the goal, high values of threshold must be adopted.
In addition, the results of the adaptive technique showed that Region Growing segmentation improved its performance and it could separate the consists of the tumor regions.
The elapsed time of implementation is clearly reduced.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abdun, Rabab Sadun. 2016. Adaptive technique depending on region growing and soft clustering to detect tumors in different modalities of MRI brain images. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 24, no. 5, pp.1333-1342.
https://search.emarefa.net/detail/BIM-697711
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abdun, Rabab Sadun. Adaptive technique depending on region growing and soft clustering to detect tumors in different modalities of MRI brain images. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 24, no. 5 (2016), pp.1333-1342.
https://search.emarefa.net/detail/BIM-697711
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abdun, Rabab Sadun. Adaptive technique depending on region growing and soft clustering to detect tumors in different modalities of MRI brain images. Journal of Babylon University : Journal of Applied and Pure Sciences. 2016. Vol. 24, no. 5, pp.1333-1342.
https://search.emarefa.net/detail/BIM-697711
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Text in English ; abstracts in English and Arabic.
رقم السجل
BIM-697711
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