open-source radiomics packages Search Results


90
MathWorks Inc radiomics package
Radiomics Package, 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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90
MathWorks Inc radiomics analysis package
Radiomics Analysis Package, 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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Average 90 stars, based on 1 article reviews
radiomics analysis package - by Bioz Stars, 2026-04
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90
MathWorks Inc matlab r2012a
Matlab R2012a, 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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matlab r2012a - by Bioz Stars, 2026-04
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90
Siemens Healthineers machine learning capable prototype software radiomics v.1.2.1
Machine Learning Capable Prototype Software Radiomics V.1.2.1, supplied by Siemens Healthineers, 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/machine learning capable prototype software radiomics v.1.2.1/product/Siemens Healthineers
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machine learning capable prototype software radiomics v.1.2.1 - by Bioz Stars, 2026-04
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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
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90
MathWorks Inc 2018b
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.
2018b, 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/2018b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2018b - by Bioz Stars, 2026-04
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90
Diomics Inc pyradiomics
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.
Pyradiomics, supplied by Diomics 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/pyradiomics/product/Diomics Inc
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pyradiomics - by Bioz Stars, 2026-04
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90
MathWorks Inc matlab 2016
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.
Matlab 2016, 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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matlab 2016 - by Bioz Stars, 2026-04
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90
MathWorks Inc matlab 2017b
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.
Matlab 2017b, 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/matlab 2017b/product/MathWorks Inc
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matlab 2017b - by Bioz Stars, 2026-04
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96
MathWorks Inc changgung image texture analysis toolbox
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.
Changgung Image Texture Analysis Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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changgung image texture analysis toolbox - by Bioz Stars, 2026-04
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90
MathWorks Inc computational environment for radiotherapy research (cerr)
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.
Computational Environment For Radiotherapy Research (Cerr), 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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computational environment for radiotherapy research (cerr) - by Bioz Stars, 2026-04
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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: