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Meta-segmentation tool for joining many segmentation hypotheses created by various methods.

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metaseg

Example segmentation workflow:

  1. Expects a folder with RAW.tif and a subfolder named segmentation
  2. Run com.indago.metaseg.MetaSegApplication
  3. By default, it shows tab meta-training. In this click fetch segments with the default parameters.
  4. In training mode, select any mode.
  5. Then start active learning, it will start displaying segments (click Y or N to classify as good/bad)
  6. After few iterations, click compute solution. This switches to solution tab.

For running MetaSeg, put the followinmg in run configurations (change the path to data folder on your computer) -p /Users/prakash/Desktop/metasegData/c.elegans/metaseg_small

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Meta-segmentation tool for joining many segmentation hypotheses created by various methods.

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