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# Dagster Assets Project
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This project demonstrates how to orchestrate a radiomics workflow using **Dagster Assets**.
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Assets are declarative building blocks that represent data or computation results. Each asset is materialized in sequence to produce reproducible outputs.
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## Features
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- Asset-based orchestration for radiomics extraction.
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- Clear lineage: images → registration → fusion → filtering → mask alignment → feature extraction → final JSON/Excel.
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- Custom IOManager to persist outputs as JSON files in the `artifacts/` directory.
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## Requirements
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- Python 3.10+
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- Dagster
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- SimpleITK
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- Pandas
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- PySERA
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Install dependencies:
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```bash
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pip install dagster simpleitk pandas pysera
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# Running:
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python run_pipeline.py
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