A Quantitative Microwave Imaging Approach for Brain Stroke Classification Based on the Generalized Tikhonov Regularization
Author:
Affiliation:
1. Communications and Computer Research Center, Ferdowsi University of Mashhad, Mashhad, Iran
2. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10184022.pdf?arnumber=10184022
Reference24 articles.
1. Current Status of Endovascular Stroke Treatment
2. Electromagnetic Tomography for Detection, Differentiation, and Monitoring of Brain Stroke: A Virtual Data and Human Head Phantom Study.
3. Microwave Diagnostics Ahead: Saving Time and the Lives of Trauma and Stroke Patients
4. Review of microwave imaging algorithms for stroke detection
5. Stroke Diagnosis Using Microwave Techniques: Review of Systems and Algorithms
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1. High Quality Brain Image Reconstruction Based on DBIM and U-Net;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30
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