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Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation
المؤلفون المشاركون
Aguilar Lasserre, Alberto Alfonso
González Sánchez, Blanca E.
Posada Gómez, Rubén
Palet Guzmán, José A.
Domínguez Hernández, Karem R.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-04-18
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Cervical cancer is the second largest cause of death among women worldwide.
Nowadays, this disease is preventable and curable at low cost and low risk when an accurate diagnosis is done in due time, since it is the neoplasm with the highest prevention potential.
This work describes the development of an expert system able to provide a diagnosis to cervical neoplasia (CN) precursor injuries through the integration of fuzzy logics and image interpretation techniques.
The key contribution of this research focuses on atypical cases, specifically on atypical glandular cells (AGC).
The expert system consists of 3 phases: (1) risk diagnosis which consists of the interpretation of a patient’s clinical background and the risks for contracting CN according to specialists; (2) cytology images detection which consists of image interpretation (IM) and the Bethesda system for cytology interpretation, and (3) determination of cancer precursor injuries which consists of in retrieving the information from the prior phases and integrating the expert system by means of a fuzzy logics (FL) model.
During the validation stage of the system, 21 already diagnosed cases were tested with a positive correlation in which 100% effectiveness was obtained.
The main contribution of this work relies on the reduction of false positives and false negatives by providing a more accurate diagnosis for CN.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Domínguez Hernández, Karem R.& Aguilar Lasserre, Alberto Alfonso& Posada Gómez, Rubén& Palet Guzmán, José A.& González Sánchez, Blanca E.. 2013. Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-498853
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Domínguez Hernández, Karem R.…[et al.]. Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-17.
https://search.emarefa.net/detail/BIM-498853
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Domínguez Hernández, Karem R.& Aguilar Lasserre, Alberto Alfonso& Posada Gómez, Rubén& Palet Guzmán, José A.& González Sánchez, Blanca E.. Development of an Expert System as a Diagnostic Support of Cervical Cancer in Atypical Glandular Cells, Based on Fuzzy Logics and Image Interpretation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-498853
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-498853
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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