MICCAI 2015 Head and Neck Challenge

This database is provided and maintained by Dr. Gregory C Sharp (Harvard Medical School – MGH, Boston) and his group.

The data here provided have been used for the “Head and Neck Auto Segmentation MICCAI Challenge (2015)”. To cite the challenge or the data, please refer to: Raudaschl, P. F., Zaffino, P., Sharp, G. C., Spadea, M. F., Chen, A., Dawant, B. M., … & Jung, F. (2017). Evaluation of segmentation methods on head and neck CT: Auto‐segmentation challenge 2015. Medical Physics, 44(5), 2020-2036.

PDDCA version 1.4.1 comprises 48 patient CT images from the Radiation Therapy Oncology Group (RTOG) 0522 study (a multi-institutional clinical trial led by Dr Kian Ang), together with manual segmentation of left and right parotid glands, brainstem, optic chiasm, optic nerves (both left and right), mandible, submandibular glands (both left and right) and manual identification of bony landmarks. We give this data to the community in the hopes that it will be helpful. Any errors in delineation and markup are ours, and are not the fault of participating doctors. Please see pddca.odt for complete information. For practical reasons the database is split in 3 zipped files. Part 3 contains images with some of the above listed structures missing.

Details regarding the Challenge Train/Test Splits can be found in the dataset description