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Application Analysis of Particle Swarm Optimization in Medical Imaging

摘要


At present, the rapid progress of Internet and development, scene constantly innovative optimization and subdivision, standardization of technology products and service platform of some traditional gm has cannot fully able to meet the enterprise customers personalized service requirements, all kinds of enterprises in technology application, and the scene for the business core enterprise multidimensional technology together, providing customized Sex of technical service and product solutions to model, became our drive enterprise's value creation of an effective development path, health, medical professionals fusion is to speed up the pace of development, to promote the leap-forward progress of medical science, medical technology, medical imaging, as one of the important product of medical professionals fusion, even if has made substantial progress in many ways, However, for the further development of medical imaging, it is still necessary to strengthen medical innovation and improve the fusion effect. This paper will start from the particle swarm algorithm, expounds its application in medical image, improve the depth of the application of particle swarm algorithm in medical image.

參考文獻


Zhang Kun, TIAN Yebing, CONG Jianchen, LIU Yan hou, YAN Ning, Lu Tao. Diamond & Abrasives Engineering: 1-6. Liu Xiaojun, Wang Xiaojun. Research on Grinding Technology based on Dynamic Inertial Weighted Particle Swarm Optimization [J]. Diamond & Abrasives Engineering:1-6.
Science and Technology Innovation, 2020, (32):103-104. Li Shusong. Application of Particle Swarm Optimization Algorithm in Optimization Problem [J]. Science and Technology Innovation, 2020, (32):103-104.
ang Peng, MAO Zhengyu, CAI Zhihua. Journal of Chongqing University of Technology (Natural Science): 1-12.
Ling Tonghua, Qin Jian, Song Qiang, Hua Fei. Intelligent Displacement Back Analysis Method based on Improved Particle Swarm Optimization algorithm and Neural Network and its Application [J]. Journal of railway science and engineering, 2020, 17(09):2181-2190.
Dai Wenzhi, Cheng Ming, Chen Yuehan, Yang Xinle. Journal of engineering thermophysics, 2020, 41(09): 2111-2118.

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