Abstract
CT image diagnosis technology had developed rapidly in China. In clinical testing, large-scale data gradually existed in the form of sequences. Data clustering was the integration of different substances in an image according to certain properties, but there were still many problems in the use of commonly used data clustering methods in medicine. The current sequencing big data clustering method analysis was still in the research stage and had very important significance. This paper proposed a large-scale batch clustering method based on multi-frame CT images, which was compared with the traditional clustering method, and hoped to provide assistance for clinical applications.
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Wang, Xy., Wei, Gh., Gu, Zw., Li, M., Ma, Jg. (2020). Multiple Frame CT Image Sequencing Big Data Batch Clustering Method. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-51100-5_34
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DOI: https://doi.org/10.1007/978-3-030-51100-5_34
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