Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography

Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography

This paper describes the method developed using the Extreme Gradient Boosting (Xgboost) algorithm that allows high-resolution imaging using the ultrasound tomography (UST) signal. More precisely, we can locate, isolate, and use the reflective peaks from the UST signal to achieve high-resolution imag...

Full description

Bibliographic Details
Main Authors: Dariusz Majerek, Tomasz Rymarczyk, Dariusz Wójcik, Edward Kozłowski, Magda Rzemieniak, Janusz Gudowski, Konrad Gauda
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
ultrasound imagining
machine learning
extreme gradient boosting
Online Access:https://www.mdpi.com/1996-1073/14/22/7549

Internet

https://www.mdpi.com/1996-1073/14/22/7549

Similar Items