Cell-based graph cut for segmentation of 2D/3D sonographic breast images

机译：基于细胞的图切用于2D / 3D超声乳腺图像的分割

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摘要

Boundary delineation is the fundamental basis of many sonographic image analyses. In sonographic breast lesion images, it's complicated and time consuming for physicians to delineate the lesion boundaries. When it comes to three dimensional sonographic breast lesions image, delineation of lesion boundary becomes much more complicated. Taking advantage of cell competition algorithm along with its good region structure, generated cells can be served as elegant nodes for graph cut. Further, a similar weight function plays an important role in the estimation of lesion boundary to avoid visible weak edge and isolated node in graph cut. The integration of cell competition and graph cut can be intuitively implemented in three dimensional images, in addition to the reduction of computational time. With efficiency and accuracy of lesion detection, a computer aided system was therefore developed to fulfill clinical applications.

机译：边界描绘是许多超声图像分析的基本基础。在超声检查的乳腺病变图像中，医师划定病变边界既复杂又耗时。当涉及三维超声乳腺病变图像时，病变边界的划定变得更加复杂。利用细胞竞争算法及其良好的区域结构，可以将生成的细胞用作图切割的优雅节点。此外，相似的权重函数在病变边界的估计中起着重要作用，以避免可见的弱边缘和图形切割中的孤立节点。除减少计算时间外，还可以在三维图像中直观地实现单元格竞争和图形切割的集成。由于病变检测的效率和准确性，因此开发了计算机辅助系统来满足临床应用。

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《IEEE International Symposium on Biomedical Imaging: From Nano to Macro》|2010年|p.177-180|共4页
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Chiang Hsin-Hung; Cheng Jie-Zhi; Hung Pei-Kai; Liu Chun-You; Chung Cheng-Hong; Chen Chung-Ming;
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正文语种
中图分类模式识别与装置;
关键词
Cell Competition; Graph Cut; Sonographic Image;

机译：细胞竞争图切超声图像;

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Cell-based graph cut for segmentation of 2D/3D sonographic breast images

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