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open-source radiomics packages  (MathWorks Inc)


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    MathWorks Inc open-source radiomics packages
    Illustration of the regions of interest segmentation on CT images. <t>Radiomics</t> analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.
    Open Source Radiomics Packages, 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/open-source radiomics packages/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    open-source radiomics packages - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images"

    Article Title: Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images

    Journal: Quantitative Imaging in Medicine and Surgery

    doi: 10.21037/qims-20-681

    Illustration of the regions of interest segmentation on CT images. Radiomics analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.
    Figure Legend Snippet: Illustration of the regions of interest segmentation on CT images. Radiomics analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.

    Techniques Used:



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    open-source radiomics packages  (MathWorks Inc)
    90
    MathWorks Inc open-source radiomics packages
    Illustration of the regions of interest segmentation on CT images. <t>Radiomics</t> analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.
    Open Source Radiomics Packages, 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/open-source radiomics packages/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    open-source radiomics packages - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Illustration of the regions of interest segmentation on CT images. Radiomics analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.

    Journal: Quantitative Imaging in Medicine and Surgery

    Article Title: Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images

    doi: 10.21037/qims-20-681

    Figure Lengend Snippet: Illustration of the regions of interest segmentation on CT images. Radiomics analysis was performed in regions of interest from both tumor region (top, B) and non-tumorous bone region (bottom, C). Images of (B) and (C) were in the transverse plane. Image (A) was in the frontal plane.

    Article Snippet: The feature extraction process was conducted based on open-source Radiomics packages in MATLAB 2017b (MathWorks, Natick, MA, USA) ( 22 - 24 ).

    Techniques: