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software code using matlab r2015a  (MathWorks Inc)


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    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/result/software code using matlab r2015a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    software code using matlab r2015a - by Bioz Stars, 2026-03
    90/100 stars

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    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



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    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/result/software code using matlab r2015a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    software code using matlab r2015a - by Bioz Stars, 2026-03
    90/100 stars
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    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