Review



software code using matlab r2015a  (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 software code using matlab r2015a
    Summary of immunotherapy‐related radiomics studies
    Software Code Using Matlab R2015a, 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/product/software+code+using+matlab+r2015a/pmc09323544-36-28-27
    Average 90 stars, based on 1 article reviews
    software code using matlab r2015a - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Role of radiomics in predicting immunotherapy response"

    Article Title: Role of radiomics in predicting immunotherapy response

    Journal: Journal of Medical Imaging and Radiation Oncology

    doi: 10.1111/1754-9485.13426

    Summary of immunotherapy‐related radiomics studies
    Figure Legend Snippet: Summary of immunotherapy‐related radiomics studies

    Techniques Used: Imaging, Software, Selection, Irradiation, Marker, Immunohistochemistry, Concentration Assay, Biomarker Assay, Mann-Whitney U-Test, Construct

    Related Articles

    Software:

    Article Title: Role of radiomics in predicting immunotherapy response
    Article Snippet: Iwatate et al . 2020 , Pancreatic ductal adenocarcinoma , N/A , 107 , CT (CE) , PD‐L1 , PyRadiomics v2.2.0 , Primary tumour +4 mm to include peri‐tumoural region , 1,037 features extracted. Mann–Whitney U test and recursive feature elimination using random forest used to select features. XGBoost with cross‐validation used to develop model. , 0.683. .. Pernicka et al . 2019 , Stage II‐III colon cancer , N/A , T: 139 V: 59 , CT , Microsatellite instability , In‐house software code using MATLAB R2015a , Primary tumour , 254 features extracted. Wilcoxon rank‐sum test used to select features, highly correlated features excluded, random forest used to build model. 40 radiomics features within model. , Radiomics V: 0.76 Clinical‐radiomics T: 0.80 V: 0.79. ..



    Similar Products

    software code using matlab r2015a  (MathWorks Inc)
    90
    MathWorks Inc software code using matlab r2015a
    Summary of immunotherapy‐related radiomics studies
    Software Code Using Matlab R2015a, 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/product/software+code+using+matlab+r2015a/pmc09323544-36-28-27
    Average 90 stars, based on 1 article reviews
    software code using matlab r2015a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Summary of immunotherapy‐related radiomics studies

    Journal: Journal of Medical Imaging and Radiation Oncology

    Article Title: Role of radiomics in predicting immunotherapy response

    doi: 10.1111/1754-9485.13426

    Figure Lengend Snippet: Summary of immunotherapy‐related radiomics studies

    Article Snippet: Pernicka et al . 2019 , Stage II‐III colon cancer , N/A , T: 139 V: 59 , CT , Microsatellite instability , In‐house software code using MATLAB R2015a , Primary tumour , 254 features extracted. Wilcoxon rank‐sum test used to select features, highly correlated features excluded, random forest used to build model. 40 radiomics features within model. , Radiomics V: 0.76 Clinical‐radiomics T: 0.80 V: 0.79.

    Techniques: Imaging, Software, Selection, Irradiation, Marker, Immunohistochemistry, Concentration Assay, Biomarker Assay, Mann-Whitney U-Test, Construct