custom algorithms developed in matlab version 9.0 Search Results


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MathWorks Inc version 9.90.2037887 (r2022b) update 8
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MathWorks Inc findpeaksg.m matlab function
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MathWorks Inc statistics toolbox
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MathWorks Inc chronux matlab® toolbox
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MathWorks Inc radiomics toolbox
Summary of <t>radiomics</t> model construction and evaluation
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MathWorks Inc non-linear parameter confidence interval function
Summary of <t>radiomics</t> model construction and evaluation
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Image Search Results


Summary of radiomics model construction and evaluation

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Summary of radiomics model construction and evaluation

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Summary of statistical analysis for volume, the 15 robust  radiomics  features, and absorbed dose with Bonferroni correction

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Summary of statistical analysis for volume, the 15 robust radiomics features, and absorbed dose with Bonferroni correction

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Spearman correlation heat map for radiomics features, volume and absorbed dose

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Spearman correlation heat map for radiomics features, volume and absorbed dose

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Radiomics_robust + dose model order determination for OR (left) and progression (right): average AUC/c-index vs. number of top features included

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Radiomics_robust + dose model order determination for OR (left) and progression (right): average AUC/c-index vs. number of top features included

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Top 5 features for the combined models with robust  radiomics  features, volume, and absorbed dose

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Top 5 features for the combined models with robust radiomics features, volume, and absorbed dose

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Average AUC/c-index for individual and combined models with all the lesions, HCC lesions, and metastasis lesions

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Average AUC/c-index for individual and combined models with all the lesions, HCC lesions, and metastasis lesions

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

ROC curves for overall response (OR) at first follow-up with the combined model, radiomics alone model, and dose alone model

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: ROC curves for overall response (OR) at first follow-up with the combined model, radiomics alone model, and dose alone model

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Calibration curves for dose, radiomics, and combined models for OR endpoint, with the slopes and intercepts available in the table

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Calibration curves for dose, radiomics, and combined models for OR endpoint, with the slopes and intercepts available in the table

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques: