X-ray Computed Tomography Sinogram Data Generation from Microwave Tomography Measurements Using Deep Neural Networks-Reference-Cited by-同舟云学术

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X-ray Computed Tomography Sinogram Data Generation from Microwave Tomography Measurements Using Deep Neural Networks

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Electrical and Computer Engineering (ICECE)
language:
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Author:

Istiak Md. Abrar¹,Hasnine Iftekar Mahmud¹,Kiourti Asimina²,Alam M. Shah¹,Islam Md. Asiful²

Affiliation:

1. Bangladesh University of Engineering and Technology (BUET),Department of Electrical and Electronic Engineering,Dhaka,Bangladesh,1205

2. The Ohio State University,Electroscience Laboratory,Department of Electrical and Computer Engineering,Columbus,OH,United States,43212

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10088438/10088464/10088739.pdf?arnumber=10088739

Reference16 articles.

1. The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues

2. Microwave Imaging by Deep Learning Network: Feasibility and Training Method

3. A Wideband Microwave Tomography System With a Novel Frequency Selection Procedure

4. Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible

5. Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions

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