Snowflake-Labs/sfguide-distributed-medical-image-processing-with-monai

Snowflake-Labs/sfguide-distributed-medical-image-processing-with-monai

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License: Apache-2.0

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Created: 2026-01-14T20:28:01Z

Pushed: 2026-02-12T04:49:00Z

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README:

Distributed Medical Image Processing with MONAI

Overview

Build a distributed medical image registration pipeline using MONAI (Medical Open Network for AI) on Snowflake's Container Runtime with GPU acceleration. This guide demonstrates how to train and deploy deep learning models for aligning lung CT scans using Ray for distributed computing and Snowflake's Model Registry for model management.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the Snowflake Guide.

Data Attribution

This project uses the Learn2Reg Challenge dataset, which is licensed under CC BY 4.0:

> Hering, A., Murphy, K., & van Ginneken, B. (2020). Learn2Reg Challenge: CT Lung Registration - Training Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3835682

License

Copyright (c) Snowflake Inc. All rights reserved.

Licensed under the Apache 2.0 license.