A computational early vision model for segmentation of clinical ultrasound images

被引：0

作者：

Lin, CB ^{[1
]}

Chen, CM ^{[1
]}

Su, SF ^{[1
]}

机构：

[1] Natl Taiwan Inst Technol, Dept Elect Engn, Taipei 10772, Taiwan

来源：

PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING | 1997年 / 19卷

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Image segmentation is a fundamental step for quantitative ultrasound image analysis. However, due to the intrinsic noisy nature of an ultrasound image, classic segmentation techniques are usually ineffective in performing ultrasound image segmentation. In this paper, we present a computational early vision model for segmentation of clinical ultrasound images. Our approach is based on computing perceptual similarity among local blocks of images, which has been shown to be promising by experimental results on real ultrasound images.

引用

页码：605 / 608

页数：4

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