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Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review
IEEE Antennas and Propagation Magazine ( IF 4.2 ) Pub Date : 2021-01-15 , DOI: 10.1109/map.2020.3043469
Maokun Li , Rui Guo , Ke Zhang , Zhichao Lin , Fan Yang , Shenheng Xu , Xudong Chen , Andrea Massa , Aria Abubakar

Biomedical imaging is a relevant noninvasive technique aimed at generating an image of the biological structure under analysis. The arising visual representation of the characteristics of the object is affected by both the measurement process and reconstruction algorithm. This procedure can be considered as a hybridization of data information, measurement physics, and prior information.

中文翻译:

电磁学中的机器学习在生物医学成像中的应用:综述

生物医学成像是一种相关的非侵入性技术,旨在生成所分析的生物结构的图像。物体特征的视觉表现受到测量过程和重建算法的影响。这个过程可以被认为是数据信息、测量物理和先验信息的混合。
更新日期:2021-01-15
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