Airway Segmentation Framework for Clinical Environments
نویسندگان
چکیده
A segmentation framework for the identification of human airway trees in high resolution computed tomography (CT) images is presented. This framework consists of a fully automated segmentation algorithm, supplemented by software editing tools that allow the user to correct the airway segmentation result if needed. The algorithm and tools presented in this paper have been successfully applied on more than 10,000 CT scans.
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