Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and m...
Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning
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Author / Creator
Xiong, Yan , Zheng, Yi , Long, Wei , Wang, Yuxin , Wang, Qin , You, Yi , Zhou, Yuheng , Zhong, Jiang , Ge, Yunxi , Li, Youchen , Huang, Yan and Zhou, Zhiyong
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.
Experiments were conducted on 83 fresh ex vivo porcine liver tissues at two ablation powers of 15 W and 20 W. Ultrasound grayscale images and temperature data from multiple sampling point...
Alternative Titles
Full title
Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning
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Record Identifier
TN_cdi_plos_journals_3109723581
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3109723581
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0308968
