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.

Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review / Li, Maokun; Guo, Rui; Zhang, Ke; Lin, Zhichao; Yang, Fan; Xu, Shenheng; Chen, Xudong; Massa, Andrea; Abubakar, Aria. - In: IEEE ANTENNAS & PROPAGATION MAGAZINE. - ISSN 1045-9243. - STAMPA. - 2021, 63:3(2021), pp. 39-51. [10.1109/MAP.2020.3043469]

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

Massa, Andrea;
2021-01-01

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.
2021
3
Li, Maokun; Guo, Rui; Zhang, Ke; Lin, Zhichao; Yang, Fan; Xu, Shenheng; Chen, Xudong; Massa, Andrea; Abubakar, Aria
Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review / Li, Maokun; Guo, Rui; Zhang, Ke; Lin, Zhichao; Yang, Fan; Xu, Shenheng; Chen, Xudong; Massa, Andrea; Abubakar, Aria. - In: IEEE ANTENNAS & PROPAGATION MAGAZINE. - ISSN 1045-9243. - STAMPA. - 2021, 63:3(2021), pp. 39-51. [10.1109/MAP.2020.3043469]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/307284
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