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Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-24
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Variation in signal intensity within mass lesions and missing boundary information are intensity inhomogeneities inherent in digital mammograms.
These inhomogeneities render the performance of a deformable contour susceptible to the location of its initial position and may lead to poor segmentation results for these images.
We investigate the dependence of shape-based descriptors and mass segmentation areas on initial contour placement with the Chan-Vese segmentation method and compare these results to the active contours with selective local or global segmentation model.
For each mass lesion, final contours were obtained by propagation of a proposed initial level set contour and by propagation of a manually drawn contour enclosing the region of interest.
Differences in shape-based descriptors were quantified using absolute percentage differences, Euclidean distances, and Bland-Altman analysis.
Segmented areas were evaluated with the area overlap measure.
Differences were dependent upon the characteristics of the mass margins.
Boundary moments presented large percentage differences.
Pearson correlation analysis showed statistically significant correlations between shape-based descriptors from both initial locations.
In conclusion, boundary moments of digital mass lesions are sensitive to the placement of initial level set contours while shape-based descriptors such as Fourier descriptors, shape convexity, and shape rectangularity exhibit a certain degree of robustness to changes in the location of the initial level set contours for both segmentation algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Acho, S. N.& Rae, W. I. D.. 2015. Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1057871
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Acho, S. N.& Rae, W. I. D.. Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1057871
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Acho, S. N.& Rae, W. I. D.. Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1057871
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057871
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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