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IBBM / Cascaded-FCN

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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Question: Have you plans to open source codes? #1

Closed korabelnikov closed 7 years ago

mohamed-ezz commented 7 years ago

In principle we would love to open source it. However since the code has gone through many experiment iterations, it needs polishing before we can publish it. Unfortunately at this point we don't have enough resources to do that.

However we will soon provide an ipython notebook which shows an example of running the network to predict segmentation for a volume. Are you looking for code to use the network for inference or do you want to retrain ?

korabelnikov commented 7 years ago

@mohamed-ezz Thanks for a fast response. I want to repeat your results and cite your paper

mohamed-ezz commented 7 years ago

Although we haven't made the code officially public, you can find the code at https://github.com/mohamed-ezz/saratan

Since this is not official, you may find the code not well documented and - as mentioned - might need some cleanup.

korabelnikov commented 7 years ago

@mohamed-ezz Thanks!