The study on the automatic localization of the seed point in ultrasound breast tumor images

Huaiyu FAN; Junshan MA; Yutang LIU; Caihong DU

doi:10.3969/j.issn.1005-5630.2019.06.004

Optical Instruments, Volume. 41, Issue 6, 20(2019)

The study on the automatic localization of the seed point in ultrasound breast tumor images

Huaiyu FAN1...2, Junshan MA1,*, Yutang LIU2 and Caihong DU2 |Show fewer author(s)

¹School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

²Department of Medical Information Engineering, Jining Medical University, Rizhao 276826, China

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Figures & Tables(4)

Fig. 1. The grayscale changes of the equalized images

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Fig. 2. The process diagram of locating the seed

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Table 1. Performance of the method

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Table 1. Performance of the method

类别	本文方法	文献[9]方法
真阳性图像数目（TP）	52	48
假阳性图像数目（FP）	0	4
真阴性图像数目（TN）	47	49
假阴性图像数目（FN）	6	4
准确度（(TP+TN)/(TP+TN+FP+FN)）	94.28%	92.38%

Table 2. The consuming time in the stages for locating the seed piont in images
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Table 2. The consuming time in the stages for locating the seed piont in images
阶段图1（a）耗时/s 连续105幅图像平均耗时/s
图像统一变换成512×512和灰度均衡阶段 0.48 0.52
定位种子点阶段 2.68 2.45
总计 3.16 2.97

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Huaiyu FAN, Junshan MA, Yutang LIU, Caihong DU. The study on the automatic localization of the seed point in ultrasound breast tumor images[J]. Optical Instruments, 2019, 41(6): 20

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