StreamFlow run of digital pathology tissue/tumor prediction workflow

This dataset is an RO-Crate representation of an execution of the tissue/tumor prediction workflow for digital pathology from crs4/deephealth-pipelines. It follows the Provenance Run Crate profile. The workflow has been run with StreamFlow, using the following commands to produce an RO-Crate bundle: <pre><code class="language-bash"># Run the pipeline streamflow run \ --name ml-predict-pipeline-streamflow \ streamflow.yml # Generate the RO-Crate bundle streamflow prov \ --add-file src=README.md,dst=/README.md,about="{\"@id\":\"./\"}",encodingFormat=text/markdown \ --add-property \./.license=https://spdx.org/licenses/MIT \ --add-property \./.name="DeepHealth Pipeline" \ --add-property \./.description="Run of digital pathology tissue/tumor prediction workflow" \ --file streamflow.yml \ ml-predict-pipeline-streamflow</code></pre> The input dataset is Mirax2-Fluorescence-2 by Yves Sucaet, from the MIRAX test data.