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Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis
المؤلفون المشاركون
Murakami, Ryuji
Hirai, Toshinori
Yamasaki, Toshihiko
Chen, Tsuhan
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-06
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Differentiating lymphomas and glioblastomas is important for proper treatment planning.
A number of works have been proposed but there are still some problems.
For example, many works depend on thresholding a single feature value, which is susceptible to noise.
In other cases, experienced observers are required to extract the feature values or to provide some interactions with the system.
Even if experts are involved, interobserver variance becomes another problem.
In addition, most of the works use only one or a few slice(s) because 3D tumor segmentation is time consuming.
In this paper, we propose a tumor classification system that analyzes the luminance distribution of the whole tumor region.
Typical cases are classified by the luminance range thresholding and the apparent diffusion coefficients (ADC) thresholding.
Nontypical cases are classified by a support vector machine (SVM).
Most of the processing elements are semiautomatic.
Therefore, even novice users can use the system easily and get the same results as experts.
The experiments were conducted using 40 MRI datasets.
The classification accuracy of the proposed method was 91.1% without the ADC thresholding and 95.4% with the ADC thresholding.
On the other hand, the baseline method, the conventional ADC thresholding, yielded only 67.5% accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yamasaki, Toshihiko& Chen, Tsuhan& Hirai, Toshinori& Murakami, Ryuji. 2013. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485704
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yamasaki, Toshihiko…[et al.]. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-485704
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yamasaki, Toshihiko& Chen, Tsuhan& Hirai, Toshinori& Murakami, Ryuji. Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-485704
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-485704
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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