Ranking cell tracking systems without manual validation
We develop a method for ranking cell tracking systems without manual validation. For each cell tracker we use a face validity test based on distances between cells. The method aligns different versions of cell detection using optimal assignment. We evaluated the method in practical scenarios using real videos and trackers. Our method is capable of identifying a good tracker without ground truth.
cell tracking optimal assignment tracking quality tracker selection bayes theorem