A crowdsourcing web platform - hip joint segmentation by non-expert contributors

In this paper a crowdsourcing web platform for the interactive segmentation of hip joint structures is introduced. The system collects information on how non-expert volunteers segment anatomical components from MR Images, thereby forming a knowledge base on the solution of this type of problems. The information collected permits to determine tuning parameters for automatic and semi-automatic segmentation approaches, and it provides data for training automatic segmentation algorithms. The findings on the human-computer interaction process can be applied in the design of user interfaces for manual and semi-automatic interactive segmentation tools.