Research on Medical Image Fusion Algorithms Based on Nonsubsampled Contourlet

Junyu Long, Hong Yu, Aiming Yu
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基于非下采样Contourlet的医学图像融合算法研究
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来源期刊
中国生物医学工程学报
中国生物医学工程学报 Medicine-Medicine (miscellaneous)
CiteScore
0.40
自引率
0.00%
发文量
2798
期刊介绍: The mission of our journal: to be the bridge of the clinician, scientist and the industrial field, and to be the power of the development of biomedical engineering. The tenet of our journal: closely paying attention to and reporting the new theory, new means and new technology of biomedical engineering, tracking the newest applied achievement of biomedical engineering in clinic, serving vast clinicians, and promoting the developing of the subject of biomedical engineering. The feature of our journal: paying attention to the progress of science and technology, simultaneously, comprehensively weigh the relationship between the technology and one’s health in mind and body.
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Classification of breast mass in 3D ultrasound images with annotations based on convolutional neural networks Multichannel EEG-EMG coupling analysis using a variable scale symbolic transfer entropy approach Applying visual perception information for detection analysis and automatic extraction of breast mass in mammograms Research on Medical Image Fusion Algorithms Based on Nonsubsampled Contourlet Common spatial spectral pattern for motor imagery tasks in small channel configuration
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