Timeline.

We will prepare the gold standard evaluation data (Aim 1) and develop and update the game (Aim 2) through the 18th month as we get feedback on its use. Year 2 will consist primarily of testing the aggregation of segmented data (Aim 3), exploring how well the game can generalize to segmentation of every region of the BigBrain (Exploratory Aim 1), and training and testing an automated approach that learns from the crowdsourced data (Exploratory Aim 2), as well as to publish and present our findings.

 
  Part of: Klein A (2016) A game for crowdsourcing the segmentation of BigBrain data. Research Ideas and Outcomes 2: e8816. https://doi.org/10.3897/rio.2.e8816