کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
505742 | 864533 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Homogeneity- and density distance-driven active contours for medical image segmentation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Homogeneity- and density distance-driven active contours for medical image segmentation Homogeneity- and density distance-driven active contours for medical image segmentation](/preview/png/505742.png)
چکیده انگلیسی
In this paper, we present a novel active contour (AC) model for medical image segmentation that is based on a convex combination of two energy functionals to both minimize the inhomogeneity within an object and maximize the distance between the object and the background. This combination is necessary because objects in medical images, e.g., bones, are usually highly inhomogeneous while distinct organs should generate distinct image configurations. Compared with the conventional Chan–Vese AC, the proposed model yields similar performance in a set of CT images but performs better in an MRI data set, which is generally in lower contrast.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 41, Issue 5, May 2011, Pages 292–301
Journal: Computers in Biology and Medicine - Volume 41, Issue 5, May 2011, Pages 292–301
نویسندگان
Phan Tran Ho Truc, Tae-Seong Kim, Sungyoung Lee, Young-Koo Lee,