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{"id": "https://github.com/qchapp/lungs-segmentation", "applicationCategory": ["Library", "Plugin", "Notebook"], "description": "A deep-learning pipeline for automated lung segmentation in mice CT scans, aiding lung cancer research by isolating lung regions for more precise analysis.", "featureList": ["Segmentation", "Object detection", "Feature detection"], "isAccessibleForFree": true, "keywords": ["https://github.com/qchapp/lungs-segmentation", "lungs-segmentation"], "name": "lungs-segmentation", "programmingLanguage": "Python", "softwareRequirements": "PyTorch 2.0", "supportingData": {"contentUrl": "https://zenodo.org/record/8099852/files/lungs_ct.tif", "description": "Demo sample", "name": "lungs_ct", "datasetFormat": "tiff", "hasDimensionality": 3, "bodySite": "Lungs", "imagingModality": "CT"}, "url": "https://github.com/qchapp/lungs-segmentation", "imagingModality": "CT-scan", "isPluginModuleOf": "napari", "relatedToOrganization": "EPFL", "runnableExample": [{"description": "Drag-and.-drop app built with Gradio and hosted in a Huggingface space.", "name": "Huggingface Gradio app (Only CPU)", "url": "https://huggingface.co/spaces/qchapp/3d-lungs-segmentation", "hostType": "plaza-gradio-application"}, {"description": "Drag-and.-drop app built with Gradio and hosted in a Huggingface space.", "name": "Huggingface Gradio app (With GPU)", "url": "https://huggingface.co/spaces/katospiegel/3d-lungs-segmentation", "hostType": "plaza-gradio-application"}], "hasExecutableNotebook": [{"description": "In this notebook we are analysing the results of the project by comparing the classical approaches with the trained model.", "name": "Benchmark with classical approaches", "url": "https://github.com/qchapp/lungs-segmentation/blob/master/results.ipynb"}, {"description": "In this notebook we are analysing the results of the project by comparing the classical approaches with the trained model.", "name": "Benchmark with classical approaches (COLAB with GPU)", "url": "https://colab.research.google.com/github/qchapp/lungs-segmentation/blob/master/results.ipynb"}]}