Breast ultrasound image segmentation: a survey

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• 作者：Qinghua Huang ; Yaozhong Luo ; Qiangzhi Zhang
• 关键词：Breast cancer ; Computer ; aided diagnosis ; Ultrasound ; Segmentation
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：12
• 期：3
• 页码：493-507
• 全文大小：
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer International Publishing
• ISSN：1861-6429
• 卷排序：12

文摘

PurposeBreast cancer is the most common form of cancer among women worldwide. Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify abnormalities of the breast. Recently, computer-aided diagnosis (CAD) systems using ultrasound images have been developed to help radiologists to increase diagnosis accuracy. However, accurate ultrasound image segmentation remains a challenging problem due to various ultrasound artifacts. In this paper, we investigate approaches developed for breast ultrasound (BUS) image segmentation.