Details

Title

Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

Journal title

Archives of Acoustics

Yearbook

2016

Volume

vol. 41

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2016

Identifier

eISSN 2300-262X ; ISSN 0137-5075

References

LewisM (2015), Thermometry and Ablation Monitoring with Ultrasound, Int J, 31, 163. ; WuW (2015), An Artificial Immune System - Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images Imaging, Digit, 28, 576, doi.org/10.1007/s10278-014-9757-1 ; ByraM (2016), Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters, Med Phys, 5561, doi.org/10.1118/1.4962928 ; NowickiA (2015), Differentiation of normal tissue and tissue lesions using statistical properties of backscattered ultrasound in breast in International, Ultrasonics Symposium IEEE, doi.org/10.1109/ULTSYM.2015.0417 ; GambinB (2015), Temperature Measurement by Statistical Parameters of Ultrasound Signal Backscattered from Tissue Samples Polonica A, Acta Physica, 128. ; KwokJ (2007), Thermal Imaging and Analysis for Breast Tumor Detection BEE - Engineering : Applications to Biomedical Processes, Computer Aided, 453. ; TsuiP (2012), Ultrasound temperature estimation based on probability variation of backscatter data http doi org, Med Phys, 39, 2369, doi.org/10.1118/1.3700235 ; SubhadeepM (2010), A Neural Network Based Estimation of Tumor Parameters from a Breast Thermogram of Heat and Mass Transfer, International Journal, 53, 4714.

DOI

10.1515/aoa-2016-0076

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