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Empirical comparison of cell segmentation algorithms using an annotated dataset
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Three popular algorithms (Viterbi active contour, watershed and a thresholding-based method) for segmenting cell nuclei are compared empirically. This is achieved via a large (20,000) image dataset that has been annotated by three independent non-expert observers. The Hausdorff distance is used as an error metric and Chalana's modified Williams' index is used to compare each algorithm's output to the observers' data. 0-7803-7750-8/03/$17.00
doi:10.1109/icip.2003.1246871
dblp:conf/icip/Bamford03
fatcat:rya5o2v4xravdbsl7hfp3dj3qq