GitHub - HMS-IDAC/MLRFSwCF: Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

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Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
docs		docs
LICENSE		LICENSE
ReadMe.txt		ReadMe.txt
circcentlikl.m		circcentlikl.m
circlikl.m		circlikl.m
derivatives.m		derivatives.m
edgelikl.m		edgelikl.m
figureQSS.m		figureQSS.m
filterGauss2D.m		filterGauss2D.m
imageFeatures.m		imageFeatures.m
imclassify.m		imclassify.m
mlrfsImClassify.m		mlrfsImClassify.m
mlrfsSegment.m		mlrfsSegment.m
mlrfsTrain.m		mlrfsTrain.m
normalize.m		normalize.m
padarrayXT.m		padarrayXT.m
probMapContextFeatures.m		probMapContextFeatures.m
rffeatandlab.m		rffeatandlab.m
smorlet.m		smorlet.m
train.m		train.m

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Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

Train with:
    mlrfsTrain.m

Segmentation example:
    mlrfsSegment.m

For a running example, download the dataset at
http://idac.hms.harvard.edu/segmentation,
place the folder Data in the same folder containing this file,
and run the .m scripts listed above.
See m-files for parameters to set, and their meaning.

Developed by:
Marcelo Cicconet
marceloc.net

Reference:
https://www.biorxiv.org/content/early/2017/08/03/172296