NDLI: Gradient Vector Flow Field and Mass Region Extraction in Digital Mammograms

Content Provider	IEEE Xplore Digital Library
Author	Fengmei Zou Yufeng Zheng Zhengdong Zhou Agyepong, K.
Copyright Year	2008
Description	Author affiliation: Dept. of Adv. Technol., Alcorn State Univ., Alcorn, MS (Fengmei Zou; Yufeng Zheng; Zhengdong Zhou; Agyepong, K.)
Abstract	Mass detection is one of the main computer-aided mammographic breast cancer detection techniques. Precisely selecting the regions that contain masses is an important step in mass segmentation using mammographic computer-aided detection. In this paper, an algorithm for extracting mass regions in digital mammograms is proposed, in which we use adaptive histogram equalization to enhance mammograms, use a gradient vector flow field to generate region boundaries, select N candidate locations according to the means and the standard deviations of intensities of the points with top brightness, use these points and the region boundaries to generate the convex hulls of the regions as the mass regions. 161 down-sampled mammogram images from the Digital Database for Screening Mammography project were test, and a detection rate of 82.6% is obtained. The experimental results indicated that the method is efficient and robust.
Starting Page	41
Ending Page	43
File Size	1323334
Page Count	3
File Format	PDF
ISBN	9780769531656
ISSN	10637125
DOI	10.1109/CBMS.2008.117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Biomedical imaging Adaptive equalizers Brightness Image segmentation Cancer detection Breast cancer Deformable models Image edge detection Data mining Gradient Vector Flow Field Segmentation Mammogram Mass Detection
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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