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

Year: 2024

Type: supplementary-materials

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.

DOI: 10.1158/0008-5472.26357652.v1

Authors: Christian Herz, Jean-Christophe Fillion-Robin, Michael Onken, Jörg Riesmeier, Andras Lasso, Csaba Pinter, Gabor Fichtinger, Steve Pieper, David Clunie, Ron Kikinis, Andriy Fedorov

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4400912775

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