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in-house algorithm matlab r2017a  (MathWorks Inc)


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    MathWorks Inc in-house algorithm matlab r2017a
    Applications of radiomics in pancreatic CT images.
    In House Algorithm Matlab R2017a, 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/in-house algorithm matlab r2017a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    in-house algorithm matlab r2017a - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review"

    Article Title: Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review

    Journal: Healthcare

    doi: 10.3390/healthcare10081511

    Applications of radiomics in pancreatic CT images.
    Figure Legend Snippet: Applications of radiomics in pancreatic CT images.

    Techniques Used: Software, Biomarker Discovery, Histopathology, Imaging, Standard Deviation, Functional Assay

    Applications of radiomics in pancreatic MRI images.
    Figure Legend Snippet: Applications of radiomics in pancreatic MRI images.

    Techniques Used: Biomarker Discovery, Histopathology, Software, Methylated DNA Immunoprecipitation



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    Image Search Results


    Applications of radiomics in pancreatic CT images.

    Journal: Healthcare

    Article Title: Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review

    doi: 10.3390/healthcare10081511

    Figure Lengend Snippet: Applications of radiomics in pancreatic CT images.

    Article Snippet: Xie , 2019 , In-house algorithm (MATLAB R2017a) , Differential diagnosis (MCN vs. SCN) , 57 (31 MCNs, 26 SCNs) , SW , Radiologist , AP, PVP, DP , Radiomics model: AUC 0.989, Acc 94.7%, Sen 93.6%, Spe 96.2% Combined model (radiomics + radiological features): AUC 0.994, Acc 98.2%, Sen 96.8%, Spe 100%.

    Techniques: Software, Biomarker Discovery, Histopathology, Imaging, Standard Deviation, Functional Assay

    Applications of radiomics in pancreatic MRI images.

    Journal: Healthcare

    Article Title: Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review

    doi: 10.3390/healthcare10081511

    Figure Lengend Snippet: Applications of radiomics in pancreatic MRI images.

    Article Snippet: Xie , 2019 , In-house algorithm (MATLAB R2017a) , Differential diagnosis (MCN vs. SCN) , 57 (31 MCNs, 26 SCNs) , SW , Radiologist , AP, PVP, DP , Radiomics model: AUC 0.989, Acc 94.7%, Sen 93.6%, Spe 96.2% Combined model (radiomics + radiological features): AUC 0.994, Acc 98.2%, Sen 96.8%, Spe 100%.

    Techniques: Biomarker Discovery, Histopathology, Software, Methylated DNA Immunoprecipitation