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dcmqi: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2017
Cancer Research
Quantitative analysis of clinical image data is an active area of research that holds promise for precision medicine, early assessment of treatment response, and objective characterization of the disease. Interoperability, data sharing, and the ability to mine the resulting data are of increasing importance, given the explosive growth in the number of quantitative analysis methods being proposed. The Digital Imaging and Communications in Medicine (DICOM) standard is widely adopted for image and
doi:10.1158/0008-5472.can-17-0336
pmid:29092948
fatcat:tdzwblevuzbenngwnpvk63ujha