Review



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


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    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/product/in-house+algorithm+matlab+r2016a/pmc09935950-75-8-10
    Average 90 stars, based on 1 article reviews
    in-house software with algorithms implemented in matlab r2016a - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    Histopathology:

    Article Title: Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review
    Article Snippet: Guo , 2019 , MATLAB R2014a , pNET grading (G1/G2 vs. G3) , 37 (13 grade 1, 11 grade 2, 13 grade 3) , RW , Histopathology , NECT, AP, PVP , Texture features AUC 0.93, Sen 91.7%, Spe 84.6% Size/margin + texture features AUC 0.958, Sen 91.6%, Spe 87.5%. .. 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. .. D’Onofrio , 2019 , MaZda Software (v 4.6) , pNET grading , 100 (31 grade 1, 52 grade 2, 17 grade 3) , RW , Radiologist , AP, PVP , Kurtosis is different among three G groups: AUC 0.924, Sen 82%, Spe 85% for G3 diagnosis Entropy different between G1 and G3 and G2 and G3 groups: AUC 0.732, Sen 82%, Spe 64% for G3 diagnosis.



    Similar Products

    in-house software with algorithms implemented in matlab r2016a  (MathWorks Inc)
    90
    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/product/in-house+algorithm+matlab+r2016a/pmc09935950-75-8-10
    Average 90 stars, based on 1 article reviews
    in-house software with algorithms implemented in matlab r2016a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    in-house algorithm matlab r2016a  (MathWorks Inc)
    90
    MathWorks Inc in-house algorithm matlab r2016a
    Applications of radiomics in pancreatic CT images.
    In House Algorithm 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/product/in-house+algorithm+matlab+r2016a/pmc09408381-17-4-6
    Average 90 stars, based on 1 article reviews
    in-house algorithm matlab r2016a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    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: 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