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in-house software based on matlab platform version 9.3 matlab r2017b  (MathWorks Inc)


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    Structured Review

    MathWorks Inc in-house software based on matlab platform version 9.3 matlab r2017b
    Imaging and <t> radiomics </t> methodology.
    In House Software Based On Matlab Platform Version 9.3 Matlab R2017b, 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/version+r2017b+software/pmc11435603-4-21-30
    Average 90 stars, based on 1 article reviews
    in-house software based on matlab platform version 9.3 matlab r2017b - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease"

    Article Title: A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease

    Journal: Tomography

    doi: 10.3390/tomography10090108

    Imaging and radiomics methodology.
    Figure Legend Snippet: Imaging and radiomics methodology.

    Techniques Used: Imaging, Extraction, Software, Biomarker Discovery, Construct, Activity Assay

    Related Articles

    Software:

    Article Title: Establishing the Competency Development and Talent Cultivation Strategies for Physician-Patient Shared Decision-Making Competency Based on the IAA-NRM Approach.
    Article Snippet: .. This study used Microsoft Office Excel version 2016 (Microsoft, Redmond, WA, USA) to calculate the IAA approach and Matlab version R2017b software (The Mathworks Inc., Natick, MA, USA) to determine the NRM approach. ..



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    Image Search Results


    Imaging and radiomics methodology.

    Journal: Tomography

    Article Title: A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease

    doi: 10.3390/tomography10090108

    Figure Lengend Snippet: Imaging and radiomics methodology.

    Article Snippet: Kafouris et al. [ ] , PET/CT using 0.14 mCi/kg 18 F-FDG , Adherence to radiomics guidelines: features extracted according to IBSI guidelines Feature extraction software: in-house software based on Matlab platform (Version 9.3, Matlab R2017b, Natick, MA, USA) , Segmentation: manual segmentation around the carotid artery wall Features extracted: first order, GLCM, GLRLM, GLSZM and NGTDM Machine learning techniques: univariate logistic regression , Performance assessment: AUC from the ROC Internal validation: bootstrapping generating 200 bootstrap samples No external validation.

    Techniques: Imaging, Extraction, Software, Biomarker Discovery, Construct, Activity Assay