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July 23, 2024

Supplementary Video S2 from dcmqi: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM

Christian Herz Jean‐Christophe Fillion‐Robin Michael D. Onken Jörg Riesmeier András Lassó Csaba Pintér Gábor Fichtinger Steve Pieper David Clunie Ron Kikinis Andriy Fedorov

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Abstract

This video guides the viewer over the process of how a segmentation created using ITK-Snap can be converted into a standard DICOM representation using dcmqi.

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Cite This Study

Herz et al. (2024) studied this question.

synapsesocial.com/papers/68e5f630b6db64358758ac90 https://doi.org/10.1158/0008-5472.26357652

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Supplementary Video S2 from <i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM2024
2Supplementary Video S2 from <i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM2024
3Supplementary Video S2 from <i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM2024
4Supplementary Video S3 from <i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM2024
5Supplementary Video S3 from <i>dcmqi</i>: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM2024

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