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