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Auto-segmentation for thoracic radiation treatment planning: A grand challenge ...

Yang, Jinzhong; Veeraraghavan, Harini; Armato, Samuel G.; Farahani, Keyvan; Kirby, Justin S.; Kalpathy-Kramer, Jayashree; van Elmpt, Wouter

This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine. The purpose of the challenge was to provide a benchmark dataset and platform for evaluating performance of autosegmentation methods of organs at risk (OARs) in thoracic CT images.

Date: 2018   |   Origin: RepositóriUM - Universidade do Minho
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