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:

# 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

The input dataset is Mirax2-Fluorescence-2 by Yves Sucaet, from the MIRAX test data.