Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks
المؤلفون المشاركون
Abd al-Nasir, Aimi
Mashor, Mohd Yusuf
Hassan, Rosline
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 10، العدد 5 (30 سبتمبر/أيلول 2013)9ص.
الناشر
تاريخ النشر
2013-09-30
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
الموضوعات
الملخص EN
Leukaemia is cancer of blood that causes more death than any other cancers among children and young adults under the age of 20.
This disease can be cured if it is detected and treated at the early stage.
Based on this argument, the requirement for fast analysis of blood cells for leukaemia is of paramount importance in the healthcare industry.
This paper presents the classification of white blood cells (WBC) inside the Acute Lymphoblastic Leukaemia (ALL) and Acute Myelogenous Leukaemia blood samples by using the Multilayer Perceptron (MLP) and Simplified Fuzzy ARTMAP (SFAM) neural networks.
Here, the WBC will be classified as lymphoblast, myeloblast and normal cell for the purpose of categorization of acute leukaemia types.
Two different training algorithms namely Levenberg-Marquardt and Bayesian Regulation algorithms have been employed to train the MLP network.
There are a total of 42 input features that consist of the size, shape and colour based features, have been extracted from the segmented WBCs, and used as the neural network inputs for the classification process.
The classification results indicating that all networks have produced good classification performance for the overall proposed features.
However, the MLP network trained by Bayesian Regulation algorithm has produced the best classification performance with testing accuracy of 95.70 % for the overall proposed features.
Thus, the results significantly demonstrate the suitability of the proposed features and classification using MLP and SFAM networks for classifying the acute leukaemia cells in blood sample.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd al-Nasir, Aimi& Mashor, Mohd Yusuf& Hassan, Rosline. 2013. Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks. The International Arab Journal of Information Technology،Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311877
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd al-Nasir, Aimi…[et al.]. Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks. The International Arab Journal of Information Technology Vol. 10, no. 5 (Sep. 2013).
https://search.emarefa.net/detail/BIM-311877
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd al-Nasir, Aimi& Mashor, Mohd Yusuf& Hassan, Rosline. Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311877
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references.
رقم السجل
BIM-311877
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