Iterative quadtree decomposition based automatic selection of the seed point for ultrasound breast tumor images.
文献类型：期刊论文
| 作者 | Fan, Huaihai; Fan, Huaiyu; Ma, Junshan; Lv, Zhihan |
| 刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：深圳先进技术研究院
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