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...

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Autores principales: Dariusz Majerek, Tomasz Rymarczyk, Dariusz Wójcik, Edward Kozłowski, Magda Rzemieniak, Janusz Gudowski, Konrad Gauda
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
ultrasound imagining
machine learning
extreme gradient boosting
Technology
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Acceso en línea:https://doaj.org/article/2ca4a343b3ec43aaa026550f54f3481a
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https://doaj.org/article/2ca4a343b3ec43aaa026550f54f3481a

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