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A Review on Automatic Mammographic Density and Parenchymal Segmentation
المؤلفون المشاركون
He, Wenda
Juette, Arne
Denton, Erika R. E.
Oliver, Arnau
Martí, Robert
Zwiggelaar, Reyer
المصدر
International Journal of Breast Cancer
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-31، 31ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-06-11
دولة النشر
مصر
عدد الصفحات
31
التخصصات الرئيسية
الملخص EN
Breast cancer is the most frequently diagnosed cancer in women.
However, the exact cause(s) of breast cancer still remains unknown.
Early detection, precise identification of women at risk, and application of appropriate disease prevention measures are by far the most effective way to tackle breast cancer.
There are more than 70 common genetic susceptibility factors included in the current non-image-based risk prediction models (e.g., the Gail and the Tyrer-Cuzick models).
Image-based risk factors, such as mammographic densities and parenchymal patterns, have been established as biomarkers but have not been fully incorporated in the risk prediction models used for risk stratification in screening and/or measuring responsiveness to preventive approaches.
Within computer aided mammography, automatic mammographic tissue segmentation methods have been developed for estimation of breast tissue composition to facilitate mammographic risk assessment.
This paper presents a comprehensive review of automatic mammographic tissue segmentation methodologies developed over the past two decades and the evidence for risk assessment/density classification using segmentation.
The aim of this review is to analyse how engineering advances have progressed and the impact automatic mammographic tissue segmentation has in a clinical environment, as well as to understand the current research gaps with respect to the incorporation of image-based risk factors in non-image-based risk prediction models.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Wenda& Juette, Arne& Denton, Erika R. E.& Oliver, Arnau& Martí, Robert& Zwiggelaar, Reyer. 2015. A Review on Automatic Mammographic Density and Parenchymal Segmentation. International Journal of Breast Cancer،Vol. 2015, no. 2015, pp.1-31.
https://search.emarefa.net/detail/BIM-1065260
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Wenda…[et al.]. A Review on Automatic Mammographic Density and Parenchymal Segmentation. International Journal of Breast Cancer No. 2015 (2015), pp.1-31.
https://search.emarefa.net/detail/BIM-1065260
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Wenda& Juette, Arne& Denton, Erika R. E.& Oliver, Arnau& Martí, Robert& Zwiggelaar, Reyer. A Review on Automatic Mammographic Density and Parenchymal Segmentation. International Journal of Breast Cancer. 2015. Vol. 2015, no. 2015, pp.1-31.
https://search.emarefa.net/detail/BIM-1065260
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1065260
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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