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Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review

Maokun Li, Rui Guo, Ke Zhang, Zhichao Lin, Fan Yang, Shenheng Xu, Xudong Chen, Andrea Massa, Aria Abubakar

2021IEEE Antennas and Propagation Magazine83 citationsDOI

Abstract

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.

Topics & Concepts

ElectromagneticsMedical imagingComputer scienceRepresentation (politics)Process (computing)Iterative reconstructionArtificial intelligencePattern recognition (psychology)Machine learningComputer visionEngineeringElectronic engineeringPolitical scienceOperating systemPoliticsLawElectrical and Bioimpedance TomographyAdvanced MRI Techniques and ApplicationsMicrowave Imaging and Scattering Analysis
Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review | Litcius