Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images.

	Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images.
	Fan, Huaihai; Fan, Huaiyu; Ma, Junshan; Lv, Zhihan
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2017
文献子类	期刊论文
英文摘要	Based on seed region growing method, lesion segmentation for ultrasound breast tumor images often requires manual selection of the seed point, which is both time-consuming and laborious. To overcome this limit, this paper attempts to explore an automatic method for finding the seed point inside the tumor. Two criteria combining iterative quadtree decomposition (QTD) and the gray characteristics of the lesion are thus designed to locate the seed point. One is to seek the biggest homogenous region and the other is to select the seed region where the seed point is found. Furthermore, this study validates the proposed algorithm through 110 ultrasonic breast tumor images (including 58 malignant tumor images and 52 benign tumor images). According to the needs of the seed region growing algorithm, if the seed point is found inside the tumor, it means the proposed method is correct. Otherwise, it means that the method is a failure. As the quantitative experiment results show, the proposed method in this paper can automatically find the seed point inside the tumor with an accuracy rate of 97.27 %.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12456]
专题	深圳先进技术研究院_数字所
作者单位	MULTIMEDIA TOOLS AND APPLICATIONS
推荐引用方式 GB/T 7714	Fan, Huaihai,Fan, Huaiyu,Ma, Junshan,et al. Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images.[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017.
APA	Fan, Huaihai,Fan, Huaiyu,Ma, Junshan,&Lv, Zhihan.(2017).Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images..MULTIMEDIA TOOLS AND APPLICATIONS.
MLA	Fan, Huaihai,et al."Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images.".MULTIMEDIA TOOLS AND APPLICATIONS (2017).