1

NCI's Imaging Data Commons: Fall 2022 Update

(Andrey Fedorov, Ph.D., Harvard)

The NCI's Imaging Data Commons (IDC) is a cloud-based repository of publicly available cancer imaging data co-located with the analysis and exploration tools and resources. IDC is a node within the broader NCI Cancer Research Data Commons (CRDC) infrastructure that provides secure access to a large, comprehensive, and expanding collection of cancer research data. In this presentation we will cover the highlights of IDC development that took place since the production release of the repository. Among other updates, we will discuss the new datasets that have been released by IDC, new features of the platform, and the ongoing work on expanding the learning materials, including the application of IDC and cloud computing to support reproducible AI research.

2

A cloud-based platform for the dissemination of deep learning models

(Hugo Aerts, Ph.D., Harvard MGB)

Recent advances in artificial intelligence in medicine have led to a profusion of studies that apply deep learning to problems in radiology and pathology, among others. However, the effective dissemination of deep learning algorithms remains challenging, inhibiting reproducibility and benchmarking studies, impeding further validation, and ultimately hindering their effectiveness in the cumulative scientific progress. In this talk, we will discuss a platform we are developing for the structured dissemination of deep learning models that is domain-, data-, and framework-agnostic, and can cater to different workflows and contributors’ preferences. Ultimately, these efforts will bring much-needed transparency to AI and accelerate scientific discoveries, academic training, and clinical adoption of AI applications in medicine.

3

TCIA Update

Justin Kirby, FNLCR