Head and Neck Auto-Segmentation Challenge

Private issue (*)

Title
Rating
Authors
Reviews
Status
yellow
Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection
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Gorthi S., Duay V., Bach Cuadra M., Tercier P., Allal A.S., Thiran J.
0
Accepted for publication
AAM Segmentation of the Mandible and Brainstem
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Babalola K., Cootes T.
0
Accepted for publication
Multi-object Segmentation of Head Bones
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Kainmueller D., Lamecker H., Seim H., Zachow S.
0
Accepted for publication
Automatic Segmentation of Head and Neck CT Images by GPU-Accelerated Multi-atlas Fusion
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Han X., Hibbard L.S., O'Connell N., Willcut V.
0
Accepted for publication
Segmentation of Head and Neck CT Scans Using Atlas-based Level Set Method
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Zhang X., Tian J., Wu Y., Zheng J., Deng K.
0
Accepted for publication
Head and Neck Auto-segmentation Challenge
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Pekar V., Allaire S., Kim J., Jaffray D.
0
Accepted for publication


* This issue doesn't make papers available without approval by the editor. Some papers might not be approved yet.


The goal of this challenge is to compare fully automatic methods for segmenting anatomical structures in head and neck CT data used in radiotherapy planning. One bony structure -mandible- and one soft tissue structure -brainstem- are offered for the competition. They both represent important organs at risk, which need to be accurately delineated in preparation for radiation treatment.
This issue was created the 06-11-2009, the paperdue date is 07-20-2009, the decision date is 06-29-2009, the publication date is 09-24-2009


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