Overview of large-scale image analysis in HALO via NIDAP

About this Class

The NCI HALO cloud deployment provides NCI researchers with powerful image management and analysis tools for digital pathology and numerous other 2D imaging applications. Key capabilities include expert user assessment, image archiving, and advanced AI analysis. Given the diversity of image types, the range and complexity of analytic workflows, and the need for many investigators to incorporate orthogonal data, NCI has recently augmented HALO functionality with data aggregation by integrating HALO into the NIH Integrated Data Analysis Portal (NIDAP). In this session of NCI’s IT Engagement Seminar Series (ITESS), DCEG's Scott Lawrence will show how to manage large-scale image analysis in HALO via NIDAP. Topics will include:

• leveraging NIDAP-HALO bidirectional communication to
  • bring in disparate types,
  • streamline data management across studies
  • create new analysis workflows
  • refine image analysis pipelines
• an update on NCI HALO AI Working Group efforts to create AI classifiers for in-platform use.