Init checkin

ImageJ macro that applies a classification model to a directory of
images. The classification model is generated by the trainable weka
segmentation tool in FIJI->Save classifier. The classification file is a
*.model file. I'm using this to segment epithelial cells from H&E
images.
Init checkin WekaThreshold.ijm

ImageJ script that filters the probability map generated by trainable
weka segmentation. This is used to generate outlines around epithelial
regions for TACS3 analysis and scoring. The outputs (tif files) are read
in by CurveAlign, which is being designed to generate TACS3 scores.