The purpose of this reader study is to evaluate the effort required to correct automatically generated segmentation masks for body composition analysis.
Universal Lesion Segmentation Challenge '23
Challenge
Editor
UNICORN
Challenge
Editor
Grand challenge on benchmarking vision-language foundation models in the digital pathology and radiology domain
CORADS-AI
Algorithm
User
Segments pulmonary lobes and lesions and computes the CORADS and CT Severity Score from a non-contrast CT scan.
Body composition
Algorithm
Editor
Locates L3 in a CT scan and measures the area of subcutaneous, visceral, and intermuscular adipose tissue and smooth muscle. The average Hounsfield Units of each area are also computed.