Generative learning refers to a class of techniques that process large amounts of training data into models that can be used for a variety of tasks such as synthetic data generation, image compression, enhancing resolution, classifying images, and content based retrieval. Recently a generative package has been added to the open source MONAI software.
This project will explore the application of MONAI generative tools to data on the NCI Imaging Data Commons.
Objective
Study the existing material and collect information from other interested parties
Make plans about what experiments would be interesting
If possible do some small experiments to better understand what's possible and what effort and resources would be required to scale up
Draft Status
Ready - team will start page creating immediately
Category
Quantification and Computation
Presenter Location
In-person
Key Investigators
Project Description
Generative learning refers to a class of techniques that process large amounts of training data into models that can be used for a variety of tasks such as synthetic data generation, image compression, enhancing resolution, classifying images, and content based retrieval. Recently a generative package has been added to the open source MONAI software.
This project will explore the application of MONAI generative tools to data on the NCI Imaging Data Commons.
Objective
Approach and Plan
IDCDataset
compatible with MONAI Datasets using idc-index to fetch dataProgress and Next Steps
Illustrations
No response
Background and References