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**Intro to MELD Graph and installation videos: [here](https://youtu.be/PIM1gwYNLns)**
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Graph based FCD lesion segmentation for the [MELD project](https://meldproject.github.io/).
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You can install and use the MELD FCD prediction pipeline with :
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-[**docker container**](https://meld-graph.readthedocs.io/en/latest/install_docker.html) recommended for easy installation of the pipeline as all the prerequisite packages are already embedded into the container. Note: Dockers are not working on High Performance Computing (HCP) systems ; Not tested on Windows
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-[**native installation**](https://meld-graph.readthedocs.io/en/latest/install_native.html) recommended for Mac and users that want to modify the code and/or use the code to train/test their own classifier.
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-[**singularity container (Not tested yet)**](https://meld-graph.readthedocs.io/en/latest/install_singularity.html) enables to run a container on High Performance Computing (HCP) systems.
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-[**singularity container (Not tested yet)**](https://meld-graph.readthedocs.io/en/latest/install_singularity.html) enables to run a container on High Performance Computing (HCP) systems.
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**YouTube tutorials available for the [docker installation](https://youtu.be/oduOe6NDXLA) and [native installation](https://youtu.be/jUCahJ-AebM)**
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### Running the pipeline
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Once installed you will be able to use the MELD FCD prediction pipeline on your data following the steps:
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3. Run the prediction pipeline: [guidelines](https://meld-graph.readthedocs.io/en/latest/run_prediction_pipeline.html)
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4. Interpret the results: [guidelines](https://meld-graph.readthedocs.io/en/latest/interpret_results.html)
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**YouTube tutorials available to run the [harmonisation step](https://youtu.be/te_TR6sA5sQ), to run the [prediction pipeline](https://youtu.be/OZg1HSzqKyc) and to [interpret the pipeline results](https://youtu.be/dSyd1zOn4F8)**
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Note: If you have a question or if you are running into issues at any stage (installation/use/interpretation), have a look at our [FAQs](https://meld-graph.readthedocs.io/en/latest/FAQs.html) page to see if we have not already answered them.
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