- Deep Learning Lab: Accelerate your AI-based Medical Imaging Research with MONAI Core on SageMaker
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DLL15Christopher C. Austin MD,MSc Moderator
Steve Fu PresenterAMA PRA Category 1 Creditsâ„¢: 1.00
ARRT Category A+ Credits: 0.00
Course Description:
In Person Session Only. On-demand beginning on December 5th.
Artificial Intelligence has been proven to support radiologist clinical decision making and to help reduce doctor burnout. Amazon SageMaker is end-to-end data science platform to build, train, and run machine learning models. MONAI Core is a PyTorch-based, open-source library for deep learning training of medical imaging models. In this workshop, researchers and data scientists will learn how MONAI Core running on SageMaker lets them explore more deep neural network architectures, more hyperparameters, and more hypotheses compared to static on-prem infrastructure for medical imaging workloads. They will also learn how to use the open source ITKWidgets library as part of the data science preprocessing phase to to create interactive 3D medical image visualizations directly in Jupyter notebooks.
Learning Objectives: 1) Running managed training and hyperparameter tuning jobs on Amazon SageMaker in combination with MONAI Core. 2) Creating interactive visualizations of medical images using ITKWidgets in SageMaker Notebooks.
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