The MIDAS Journal logo

The MIDAS Journal

Home

Head and Neck Auto-segmentation Challenge

Allaire, Stephane, Jaffray, David, Kim, John, Pekar, Vladimir
Philips Research North America
The MIDAS Journal logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3136
Published in The MIDAS Journal - MICCAI 2009 Workshop: Head and Neck Auto-Segmentation Challenge.
Submitted by Vladimir Pekar on 2009-11-19 14:21:10.

This paper presents the results of the Head and Neck Auto-segmentationChallenge, which was part of the workshop “3D Segmentation in the Clinic: A Grand Challenge”. This workshop took place in London, UK, in September 2009, in conjunction with the 12th conference on Medical Image Computing and Computer Assisted Interventions (MICCAI). The aim of the challenge was to evaluate the performance of fully automated algorithms in segmenting the mandible and the brainstem in head and neck CT image data used in radiotherapy planning. We describe the motivation behind the clinical application selected for the challenge, the image data used, and the metrics applied for the quantitative assessment of the segmentation accuracy with respect to the ground truth segmentations provided by a clinical expert. The quantitative evaluation results of the auto-segmentations submitted by the workshop participants are included.