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ml-based algorithm svm  (Siemens AG)

 
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    Siemens AG ml-based algorithm svm
    Difference in AUC between the ML <t> algorithm SVM </t> and median SWV was statistically significant for both groups.
    Ml Based Algorithm Svm, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/ml-based algorithm svm/product/Siemens AG
    Average 90 stars, based on 1 article reviews
    ml-based algorithm svm - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors"

    Article Title: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors

    Journal: Ultrasound in medicine & biology

    doi: 10.1016/j.ultrasmedbio.2019.09.004

    Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.
    Figure Legend Snippet: Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

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    ml-based algorithm svm  (Siemens AG)
    90
    Siemens AG ml-based algorithm svm
    Difference in AUC between the ML <t> algorithm SVM </t> and median SWV was statistically significant for both groups.
    Ml Based Algorithm Svm, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/ml-based algorithm svm/product/Siemens AG
    Average 90 stars, based on 1 article reviews
    ml-based algorithm svm - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

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    Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Journal: Ultrasound in medicine & biology

    Article Title: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors

    doi: 10.1016/j.ultrasmedbio.2019.09.004

    Figure Lengend Snippet: Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Article Snippet: The ML-based algorithm SVM had excellent diagnostic performance in datasets acquired from Siemens and Philips systems; this result is despite the fact that these two vendors used different elastography techniques.

    Techniques: