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computational environment for radiotherapy research (cerr) extended with in-house developed radiomic image analysis software matlab r2014a  (MathWorks Inc)


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    MathWorks Inc computational environment for radiotherapy research (cerr) extended with in-house developed radiomic image analysis software matlab r2014a
    Computational Environment For Radiotherapy Research (Cerr) Extended With In House Developed Radiomic Image Analysis Software Matlab R2014a, 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/radiomics+image+analysis+software/pm30268481-68-17-28
    Average 90 stars, based on 1 article reviews
    computational environment for radiotherapy research (cerr) extended with in-house developed radiomic image analysis software matlab r2014a - by Bioz Stars, 2026-09
    90/100 stars

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    Software:

    Article Title: Machine Learning methods for Quantitative Radiomic Biomarkers
    Article Snippet: Matlab R2012b (The Mathworks, Natick, MA) was used for the image analysis. .. Radiomic features were automatically extracted by our in-house developed radiomics image analysis software, which uses an adapted version of CERR (Computational Environment for Radiotherapy Research) and Matlab for the preprocessing of medical images. ..

    Article Title: A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
    Article Snippet: Materials and Methods: A total of 487 patients with pathologically diagnosed NSCLC were retrospectively included in our study.. Five hundred ninety-one radiomics features were extracted from each tumor from the contrast-enhanced computed tomography images.. A minimum redundancy maximum relevance algorithm and a logistic regression model were used for dimension reduction, feature selection, and radiomics signature building.



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