About

The goal of this workshop was to quantitatively evaluate and compare the performance of 3D image segmentation and tracking algorithms for three clinical applications, namely multiple sclerosis lesion segmentation, liver tumor segmentation, and coronary artery tracking. The workshop was a continuation of the successful MICCAI 2007 Workshop "3D Segmentation in the Clinic: A Grand Challenge"

A segmentation competition was conducted using a set of clinical image databases that cover a wide range of patients and pathologies. Three sets of images were provided to all the participants. The first set, which includes ground truth manual annotations, could be used by the contestants for fine-tuning the algorithms. The second set only includes the raw imaging data and was used to evaluate the methods before the workshop and provide results for the workshop papers. The third set was used during the workshop to evaluate the submitted algorithms on-site.

The focus of this workshop was segmentation and tracking accuracy and stability under real-world conditions. The second major goal of the workshop was to foster indepth discussions and technical interchange among researchers. For this reason, the workshop consisted of a combination of in-depth presentations of selected algorithms and posters.

The workshop website received almost 4000 visitors from all over the world. Hundred-twenty teams from six continents registered on the website to download the training and testing data, and 36 teams from academia and industry submitted results.