Automating cell segmentation evaluation with annotated examples

Previously the development of a cell nucleus segmentation algorithm had been evaluated by eye by the author. This is an impractical method when attempting to evaluate and compare many algorithms and parameter sets on very large data sets. For this work, a dataset of 20,000 cell nucleus images was annotated by hand by three non-expert assistants. This paper concentrates on comparing the previous interactive approach to evaluating a segmentation algorithm to automated techniques using this annotated data.

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