soorena62
23 lines
734 B
Markdown
23 lines
734 B
Markdown
# 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:
|
|
```bash
|
|
pip install dagster simpleitk pandas pysera
|
|
# Running:
|
|
python run_pipeline.py
|