• Optical Instruments
  • Vol. 41, Issue 6, 20 (2019)
Huaiyu FAN1、2, Junshan MA1、*, Yutang LIU2, and Caihong DU2
Author Affiliations
  • 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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    DOI: 10.3969/j.issn.1005-5630.2019.06.004 Cite this Article
    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 Copy Citation Text show less

    Abstract

    Segmentation of ultrasound breast tumors using seed region growth is a common method of computer-aided diagnosis. In order to realize automatic and fast locating of seed points, the demand of real-time online image segmentation is satisfied. According to the structural characteristics of ultrasound breast tumor image, and integrating the gray and spatial factors of the image, an algorithm based on iterative quadtree decomposition is proposed to transform the image splitting which meets a specific threshold into searching for seed regions, so as to realize automatic seed location. The verification results of 105 ultrasound breast tumor images show that this method not only satisfies the requirement of automatic location of the seed point within the tumor, with an accuracy of 94.28%. The average time consumed is 2.97 s. This method is also requires few parameters to be adjusted. Compared with other methods, the proposed method is more efficient.
    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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