mel

A Machine Learning Based Approach to Skin Lesion Segmentation.

Project Recognized as Semifinalist in the Siemens Competition.

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
.gitignore		.gitignore
README.md		README.md
batch.py		batch.py
checker.py		checker.py
checker2.py		checker2.py
classnetwork.py		classnetwork.py
conv.py		conv.py
distance.py		distance.py
edge.py		edge.py
feature_gen.py		feature_gen.py
filler.py		filler.py
fixer.py		fixer.py
forest.py		forest.py
grid.py		grid.py
hist.py		hist.py
kmeans.py		kmeans.py
lenet.py		lenet.py
mlp.py		mlp.py
network.py		network.py
p2_checker.py		p2_checker.py
p2_features.py		p2_features.py
p2_predict.py		p2_predict.py
p2_train.py		p2_train.py
p3_features.py		p3_features.py
p3_train.py		p3_train.py
postprocessing_kmeans.py		postprocessing_kmeans.py
postprocessing_slic.py		postprocessing_slic.py
predict.py		predict.py
predict_ch.py		predict_ch.py
predictconv.py		predictconv.py
predictconv2.py		predictconv2.py
predictnetwork.py		predictnetwork.py
predictup.py		predictup.py
predictup2.py		predictup2.py
reconstruct.py		reconstruct.py
slic.py		slic.py
sp_features2.py		sp_features2.py
sp_test_2.py		sp_test_2.py
train.py		train.py
train_ch.py		train_ch.py
upsample.py		upsample.py
upsample2.py		upsample2.py
viewer.py		viewer.py

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