Abstract
Although radiologists easily recognize lung nodules in CT volume data, and then judge their benign or malignant based on the type of lung nodules, some lung nodules also are difficult to be detected because of their size or shape and so on such as ground-glass opacity nodules (GGO). Some features of GGO nodules are necessary because they can help radiologists to recognize benign or malignant of GGO nodules such as to find the boundaries in order to obtain the volume of GGO nodules. However, different radiologists can give different boundaries of GGO nodules depended on radiologists’ personal habits. It was difficult to obtain the boundaries of GGO nodules which were satisfied with all radiologists. This study is to develop an interface to obtain the boundaries of GGO nodules by using expectation–maximization (EM) algorithm (US Cancer Statistics Working Group. United States cancer statistics: 19992012. Incidence and mortality Web-based report. Atlanta, GA: US Department of Health and Human Services, CDC, National Cancer Institute, 2015, [1]) and the histogram method as radiologists’ personal habits because the parameters of the EM algorithm and the threshold values of the histogram method can be adjusted. Experimental results showed the proposed interface can obtain the boundaries of GGO nodules as radiologists’ personal habits. This study can reduce the burden of radiologists effectively.
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Du, W., Yuan, D., Duan, X., Wang, J., Ma, Y., Zhang, H. (2018). Development of an Interface for Volumetric Measurement on a Ground-Glass Opacity Nodule. In: Lee, R. (eds) Computer and Information Science. ICIS 2017. Studies in Computational Intelligence, vol 719. Springer, Cham. https://doi.org/10.1007/978-3-319-60170-0_16
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DOI: https://doi.org/10.1007/978-3-319-60170-0_16
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