Shichang Liu
Klawens
- China
- Shaanxi Normal University
- School of computer science
Statistics
- Member for 3 years, 8 months
- 4 challenge submissions
Activity Overview
fastPET-LD
Challenge UserThe purpose of this challenge is the detection of “hot spots” in fast PET scan, that is locations that have an elevated standard uptake value (SUV) and potential clinical significance. Corresponding CT scans are also provided. The ground truth, common to both datasets, was generated by a nuclear medicine expert. It consists of a 3-D segmentation map of the hot spots as well as a text file containing the position and size of 3D cuboid bounding box for each hot spot.
SARAS-MESAD
Challenge UserThis challenge is organized under MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer Assisted Intervention. The event will be held from September 27th to October 1st 2021 in Strasbourg, France. The challenge focuses on multi-domain surgeon action detection.