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in-house software with algorithms implemented in matlab r2016a  (MathWorks Inc)


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    MathWorks Inc in-house software with algorithms implemented in matlab r2016a
    In House Software With Algorithms Implemented In Matlab R2016a, 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 software with algorithms implemented in matlab r2016a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    in-house software with algorithms implemented in matlab r2016a - by Bioz Stars, 2026-04
    90/100 stars

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    in-house software with algorithms implemented in matlab r2016a  (MathWorks Inc)
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    In House Software With Algorithms Implemented In Matlab R2016a, 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
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    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: Liang , 2019 , In-house algorithm (MATLAB R2016a) , pNET grading (G1 vs. G2/G3) , 137 (70 grade 1, 67 grade 2/3) , RW (86 TS, 51 VS) , Histopathology , AP , Nomogram (eight radiomics features + clinical stage): AUC 0.891.

    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: Liang , 2019 , In-house algorithm (MATLAB R2016a) , pNET grading (G1 vs. G2/G3) , 137 (70 grade 1, 67 grade 2/3) , RW (86 TS, 51 VS) , Histopathology , AP , Nomogram (eight radiomics features + clinical stage): AUC 0.891.

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