Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images
文献类型：期刊论文
| 作者 | Lei Liu; Kai Li; Wenjian Qin; Tiexiang Wen; Ling Li; Jia Wu; Jia Gu |
| 刊名 | Medical & Biological Engineering & Computing
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Due to the low contrast and ambiguous boundaries of the tumors in breast ultrasound (BUS) images, it is still a challenging task to automatically segment the breast tumors from the ultrasound. In this paper, we proposed a novel computational framework that can detect and segment breast lesions fully automatic in the whole ultrasound images. This framework includes several key components: pre-processing, contour initialization and tumor segmentation. In the pre-processing step, we applied non-local low-rank (NLLR) filter to reduce the speckle noise. In contour initialization step, we cascaded a two-step Otsu-based adaptive thresholding (OBAT) algorithm with morphologic operations to effectively locate the tumor regions and initialize the tumor contours. Finally, given the initial tumor |
| 语种 | 英语 |
| WOS记录号 | WOS:000423726400001 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12005]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | Medical & Biological Engineering & Computing |
| 推荐引用方式 GB/T 7714 | Lei Liu,Kai Li,Wenjian Qin,et al. Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images[J]. Medical & Biological Engineering & Computing,2017. |
| APA | Lei Liu.,Kai Li.,Wenjian Qin.,Tiexiang Wen.,Ling Li.,...&Jia Gu.(2017).Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.Medical & Biological Engineering & Computing. |
| MLA | Lei Liu,et al."Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images".Medical & Biological Engineering & Computing (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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