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An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer’s Disease: Classification Using Structural Features of Brain Images
المؤلفون المشاركون
Fahiem, Muhammad Abuzar
Farhan, Saima
Tauseef, Huma
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-09-08
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Structural brain imaging is playing a vital role in identification of changes that occur in brain associated with Alzheimer’s disease.
This paper proposes an automated image processing based approach for the identification of AD from MRI of the brain.
The proposed approach is novel in a sense that it has higher specificity/accuracy values despite the use of smaller feature set as compared to existing approaches.
Moreover, the proposed approach is capable of identifying AD patients in early stages.
The dataset selected consists of 85 age and gender matched individuals from OASIS database.
The features selected are volume of GM, WM, and CSF and size of hippocampus.
Three different classification models (SVM, MLP, and J48) are used for identification of patients and controls.
In addition, an ensemble of classifiers, based on majority voting, is adopted to overcome the error caused by an independent base classifier.
Ten-fold cross validation strategy is applied for the evaluation of our scheme.
Moreover, to evaluate the performance of proposed approach, individual features and combination of features are fed to individual classifiers and ensemble based classifier.
Using size of left hippocampus as feature, the accuracy achieved with ensemble of classifiers is 93.75%, with 100% specificity and 87.5% sensitivity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Farhan, Saima& Fahiem, Muhammad Abuzar& Tauseef, Huma. 2014. An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer’s Disease: Classification Using Structural Features of Brain Images. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034671
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Farhan, Saima…[et al.]. An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer’s Disease: Classification Using Structural Features of Brain Images. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1034671
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Farhan, Saima& Fahiem, Muhammad Abuzar& Tauseef, Huma. An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer’s Disease: Classification Using Structural Features of Brain Images. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034671
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034671
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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