Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Pastaci Ozsobaci Nural¹^ORCID,Onemli Emre²^ORCID,Aydinalp Cemanur²^ORCID,Yilmaz Tuba²^ORCID

Affiliation:

1. Department of Biophysics, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey

2. Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey

Funder

European Unions Horizon 2020 Research and Innovation Program through the Marie Sklodowska-Curie

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10504843.pdf?arnumber=10504843

Reference44 articles.

1. Cancer statistics, 2023

2. Machine learning aided diagnosis of hepatic malignancies throughin vivodielectric measurements with microwaves

3. Multiclass Classification of Hepatic Anomalies with Dielectric Properties: From Phantom Materials to Rat Hepatic Tissues

4. Classification of rat mammary carcinoma with large scale in vivo microwave measurements

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