2 documents found, page 1 of 1
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, WouterThis 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.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Menze, Bjoern H.; Jakab, Andras; Bauer, Stefan; Kalpathy-Cramer, Jayashree; Farahani, Keyvan; Festa, Joana Araújo; Pereira, Sérgio; Silva, Carlos A.In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low-and high-grade glioma patients-manually annotated by up to four raters-and to 65 comparable scans generated using tumor...