Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity

The search for non-invasive, fast, and low-cost diagnostic tools has gained significant traction among many researchers worldwide. Dielectric properties calculated from microwave signals offer unique insights into biological tissue. Material properties, such as relative permittivity (<inline-form...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Poulami Samaddar, Anup Kumar Mishra, Sunil Gaddam, Mansunderbir Singh, Vaishnavi K. Modi, Keerthy Gopalakrishnan, Rachel L. Bayer, Ivone Cristina Igreja Sa, Shalil Khanal, Petra Hirsova, Enis Kostallari, Shuvashis Dey, Dipankar Mitra, Sayan Roy, Shivaram P. Arunachalam
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	relative permittivity dielectric spectroscopy machine learning microwave non-alcoholic steatohepatitis fibrosis
Online Access:	https://www.mdpi.com/1424-8220/22/24/9919