NDLI: Completely automatic segmentation for breast ultrasound using multiple-domain features

Content Provider	IEEE Xplore Digital Library
Author	Shan, J. Yuxuan Wang Cheng, H.D.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science, Utah State University, USA (Shan, J.; Yuxuan Wang; Cheng, H.D.)
Abstract	Because of ultrasound images' low quality, fully automated segmentation of breast ultrasound (BUS) image is a challenging task. In this paper, a novel segmentation method for BUS images which is fully automatic without any human intervention is proposed. By incorporating empirical knowledge and characteristics of breast structure, a ROI is generated automatically. Then two newly proposed lesion features: phase in max-energy orientation (PMO) and radial distance (RD), combined with the commonly used intensity and texture feature, are extracted. Then the new feature set is used to distinguish lesion region from the background by a trained ANN. The proposed segmentation method was tested on a BUS database composed of 60 cases. We use the manually outlined lesions by an experienced radiologist as the golden standard and evaluated the performance by both area error metrics and boundary error metrics. Quantitative results demonstrate the efficiency of the proposed fully automatic BUS segmentation method.
Starting Page	1713
Ending Page	1716
File Size	297299
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5652626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Pixel Image segmentation Measurement Feature extraction Gabor filters Artificial neural networks ROI Automatic segmentation BUS
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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