کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10691284 1019591 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Two-Step Segmentation Method for Breast Ultrasound Masses Based on Multi-resolution Analysis
ترجمه فارسی عنوان
یک روش جداسازی دو مرحله ای برای توده های سونوگرافی پستان بر اساس تحلیل چند جمله ای
کلمات کلیدی
سونوگرافی پستان، تقسیم بندی تصویر، تجزیه و تحلیل تصویر، تجزیه و تحلیل مقیاس و فضا،
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
چکیده انگلیسی
Breast ultrasound images have several attractive properties that make them an interesting tool in breast cancer detection. However, their intrinsic high noise rate and low contrast turn mass detection and segmentation into a challenging task. In this article, a fully automated two-stage breast mass segmentation approach is proposed. In the initial stage, ultrasound images are segmented using support vector machine or discriminant analysis pixel classification with a multiresolution pixel descriptor. The features are extracted using non-linear diffusion, bandpass filtering and scale-variant mean curvature measures. A set of heuristic rules complement the initial segmentation stage, selecting the region of interest in a fully automated manner. In the second segmentation stage, refined segmentation of the area retrieved in the first stage is attempted, using two different techniques. The AdaBoost algorithm uses a descriptor based on scale-variant curvature measures and non-linear diffusion of the original image at lower scales, to improve the spatial accuracy of the ROI. Active contours use the segmentation results from the first stage as initial contours. Results for both proposed segmentation paths were promising, with normalized Dice similarity coefficients of 0.824 for AdaBoost and 0.813 for active contours. Recall rates were 79.6% for AdaBoost and 77.8% for active contours, whereas the precision rate was 89.3% for both methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 41, Issue 6, June 2015, Pages 1737-1748
نویسندگان
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