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Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making
المؤلفون المشاركون
Burnside, Elizabeth S.
Chen, Qiushi
Ayer, Turgay
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
2013-05-26
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Screening mammography is the most effective means for early detection of breast cancer.
Although general rules for discriminating malignant and benign lesions exist, radiologists are unable to perfectly detect and classify all lesions as malignant and benign, for many reasons which include, but are not limited to, overlap of features that distinguish malignancy, difficulty in estimating disease risk, and variability in recommended management.
When predictive variables are numerous and interact, ad hoc decision making strategies based on experience and memory may lead to systematic errors and variability in practice.
The integration of computer models to help radiologists increase the accuracy of mammography examinations in diagnostic decision making has gained increasing attention in the last two decades.
In this study, we provide an overview of one of the most commonly used models, artificial neural networks (ANNs), in mammography interpretation and diagnostic decision making and discuss important features in mammography interpretation.
We conclude by discussing several common limitations of existing research on ANN-based detection and diagnostic models and provide possible future research directions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ayer, Turgay& Chen, Qiushi& Burnside, Elizabeth S.. 2013. Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-501754
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ayer, Turgay…[et al.]. Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-501754
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ayer, Turgay& Chen, Qiushi& Burnside, Elizabeth S.. Artificial Neural Networks in Mammography Interpretation and Diagnostic Decision Making. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-501754
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-501754
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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