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Preliminary landscape analysis of deep tomographic imaging patents
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作者 Qingsong Yang Donna L.Lizotte +1 位作者 wenxiang cong Ge Wang 《Visual Computing for Industry,Biomedicine,and Art》 EI 2023年第1期20-32,共13页
Over recent years,the importance of the patent literature has become increasingly more recognized in the aca-demic setting.In the context of artificial intelligence,deep learning,and data sciences,patents are relevant... Over recent years,the importance of the patent literature has become increasingly more recognized in the aca-demic setting.In the context of artificial intelligence,deep learning,and data sciences,patents are relevant to not only industry but also academe and other communities.In this article,we focus on deep tomographic imaging and perform a preliminary landscape analysis of the related patent literature.Our search tool is PatSeer.Our patent biblio-metric data is summarized in various figures and tables.In particular,we qualitatively analyze key deep tomographic patent literature. 展开更多
关键词 Artificial intelligence Machine learning Deep learning Medical imaging TOMOGRAPHY Image reconstruction
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A recursive method for phase retrieval in Fourier transform domain 被引量:2
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作者 wenxiang cong Nanxian Chen Benyuan Gu 《Chinese Science Bulletin》 SCIE EI CAS 1998年第1期40-44,共5页
In terms of the cascading property and additivity of the order of the fractional Fourier transform, a new recursive algorithm is presented to implement phase retrieval from intensity measurements in the Fourier transf... In terms of the cascading property and additivity of the order of the fractional Fourier transform, a new recursive algorithm is presented to implement phase retrieval from intensity measurements in the Fourier transform domain. This approach simplifies significantly computational manipulations compared with conventional iterative algorithms. 展开更多
关键词 FRACTIONAL FOURIER TRANSFORM PHASE RETRIEVAL RECURSIVE method.
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