The overall objective of this auto-segmentation grand challenge is to provide a platform for comparison of various auto-segmentation algorithms when they are used to delineate four organs at risk (OARs) from CT images for patients in radiation treatment planning with the same cancer or different types, sizes and locations in chest. The results will provide an indication of the performances achieved by various auto-segmentation algorithms and can be used to guide the selection of these algorithms for clinic use if desirable. Learning objectives:
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This data set was provided to TCIA for use in he Challenge.
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