Review



feature extraction matlab 2018b  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc feature extraction matlab 2018b
    Machine learning approaches for the evaluation of thyroid nodule sonographic images.
    Feature Extraction Matlab 2018b, supplied by MathWorks Inc, 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/feature extraction matlab 2018b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    feature extraction matlab 2018b - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?"

    Article Title: Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

    Journal: Cancers

    doi: 10.3390/cancers14143357

    Machine learning approaches for the evaluation of thyroid nodule sonographic images.
    Figure Legend Snippet: Machine learning approaches for the evaluation of thyroid nodule sonographic images.

    Techniques Used: Selection, Activation Assay, Plasmid Preparation, Software, Diagnostic Assay, Modification, Generated



    Similar Products

    feature extraction matlab 2018b  (MathWorks Inc)
    90
    MathWorks Inc feature extraction matlab 2018b
    Machine learning approaches for the evaluation of thyroid nodule sonographic images.
    Feature Extraction Matlab 2018b, supplied by MathWorks Inc, 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/feature extraction matlab 2018b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    feature extraction matlab 2018b - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Machine learning approaches for the evaluation of thyroid nodule sonographic images.

    Journal: Cancers

    Article Title: Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

    doi: 10.3390/cancers14143357

    Figure Lengend Snippet: Machine learning approaches for the evaluation of thyroid nodule sonographic images.

    Article Snippet: Gomes Ataide, et al., 2020 [ ] , Feature extraction and Random Forest classifier , 99 original US images , Feature extraction using MATLAB 2018b; Random Forest classifier (400 Decision Trees; Criterion: Entropy, with Bootstrap) , RFC accuracy 99.3%, sensitivity 99.4%, specificity 99.2%.

    Techniques: Selection, Activation Assay, Plasmid Preparation, Software, Diagnostic Assay, Modification, Generated