Radiuma_RnD/Dagster/Dagster_Assets/README.md

Dagster Assets Project

This project demonstrates how to orchestrate a radiomics workflow using Dagster Assets. Assets are declarative building blocks that represent data or computation results. Each asset is materialized in sequence to produce reproducible outputs.

Features

• Asset-based orchestration for radiomics extraction.
• Clear lineage: images → registration → fusion → filtering → mask alignment → feature extraction → final JSON/Excel.
• Custom IOManager to persist outputs as JSON files in the artifacts/ directory.

Requirements

• Python 3.10+
• Dagster
• SimpleITK
• Pandas
• PySERA

Install dependencies:

pip install dagster simpleitk pandas pysera
# Running:
python run_pipeline.py