Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

المؤلفون المشاركون

Saidin, Nafiza
Ngah, Umi Kalthum
Shuaib, Ibrahim Lutfi
Mat Sakim, Harsa Amylia

المصدر

Computational and Mathematical Methods in Medicine

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-09-10

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الطب البشري

الملخص EN

Breast cancer mostly arises from the glandular (dense) region of the breast.

Consequently, breast density has been found to be a strong indicator for breast cancer risk.

Therefore, there is a need to develop a system which can segment or classify dense breast areas.

In a dense breast, the sensitivity of mammography for the early detection of breast cancer is reduced.

It is difficult to detect a mass in a breast that is dense.

Therefore, a computerized method to separate the existence of a mass from the glandular tissues becomes an important task.

Moreover, if the segmentation results provide more precise demarcation enabling the visualization of the breast anatomical regions, it could also assist in the detection of architectural distortion or asymmetry.

This study attempts to segment the dense areas of the breast and the existence of a mass and to visualize other breast regions (skin-air interface, uncompressed fat, compressed fat, and glandular) in a system.

The graph cuts (GC) segmentation technique is proposed.

Multiselection of seed labels has been chosen to provide the hard constraint for segmentation of the different parts.

The results are promising.

A strong correlation (r=0.93) was observed between the segmented dense breast areas detected and radiological ground truth.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Saidin, Nafiza& Mat Sakim, Harsa Amylia& Ngah, Umi Kalthum& Shuaib, Ibrahim Lutfi. 2013. Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-454344

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Saidin, Nafiza…[et al.]. Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-454344

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Saidin, Nafiza& Mat Sakim, Harsa Amylia& Ngah, Umi Kalthum& Shuaib, Ibrahim Lutfi. Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-454344

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-454344