首页|Study Data from Chinese Academy of Sciences Update Understanding of Computational Intelligence (Bss-tfnet: Attention-enhanced Background Signal Suppression Network for Time-frequency Spectrum In Magnetic Particle Imaging)
Study Data from Chinese Academy of Sciences Update Understanding of Computational Intelligence (Bss-tfnet: Attention-enhanced Background Signal Suppression Network for Time-frequency Spectrum In Magnetic Particle Imaging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning - Computational Intelligence have beenpublished. According to news reporting originating from Beijing, People’s Republic of China, by NewsRxcorrespondents, research stated, “Magnetic particle imaging (MPI) is a rapidly developing medical imagingmodality, which uses the nonlinear response of superparamagnetic iron oxide nanoparticles to the appliedmagnetic field to image their spatial distribution. Background signal is the main source of artifacts in MPI,which mainly includes harmonic interference and Gaussian noise.”
BeijingPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningChinese Academy of Sciences
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