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radiomics package in the matlab r2023a medical image toolbox  (MathWorks Inc)


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    MathWorks Inc radiomics package in the matlab r2023a medical image toolbox
    Radiomics Package In The Matlab R2023a Medical Image Toolbox, 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/radiomics package in the matlab r2023a medical image toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    radiomics package in the matlab r2023a medical image toolbox - by Bioz Stars, 2026-03
    90/100 stars

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    Image Search Results


    The nomogram based on the prediction probability value of the extended tumor model, maximum tumor diameter and nodule type. Radiomics prob, prediction probability value of the extended tumor model.

    Journal: European Journal of Radiology Open

    Article Title: CT-based intratumoral and peritumoral radiomics nomogram to predict spread through air spaces in lung adenocarcinoma with diameter ≤ 3 cm: A multicenter study

    doi: 10.1016/j.ejro.2024.100630

    Figure Lengend Snippet: The nomogram based on the prediction probability value of the extended tumor model, maximum tumor diameter and nodule type. Radiomics prob, prediction probability value of the extended tumor model.

    Article Snippet: The image segmentation and radiomics features extraction used a software package called “Radiomics” (Ver1.2.6, syngo.via Frontier, Siemens Healthineers, Forchheim, Germany).

    Techniques:

    Inclusion and exclusion criteria adopted to select studies according to the PICOS model.

    Journal: Current Oncology

    Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

    doi: 10.3390/curroncol31010027

    Figure Lengend Snippet: Inclusion and exclusion criteria adopted to select studies according to the PICOS model.

    Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

    Techniques: In Vitro, Imaging

     Radiomics  quality score (RQS) assessment for all included articles.

    Journal: Current Oncology

    Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

    doi: 10.3390/curroncol31010027

    Figure Lengend Snippet: Radiomics quality score (RQS) assessment for all included articles.

    Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

    Techniques:

     Radiomics  Clinical Studies in rectal cancer.

    Journal: Current Oncology

    Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

    doi: 10.3390/curroncol31010027

    Figure Lengend Snippet: Radiomics Clinical Studies in rectal cancer.

    Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

    Techniques: Selection, Biomarker Discovery, Diffusion-based Assay, Software, Plasmid Preparation

     Radiomics  Clinical Studies in Liver primitive and secondary cancer.

    Journal: Current Oncology

    Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

    doi: 10.3390/curroncol31010027

    Figure Lengend Snippet: Radiomics Clinical Studies in Liver primitive and secondary cancer.

    Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

    Techniques: Selection, Biomarker Discovery, Mutagenesis, Imaging, Plasmid Preparation, Software, Construct, Diagnostic Assay, Magnetic Resonance Imaging