Cloud-based Liquid-biopsy and Radiomics Platform for the Cancer Research Data Commons
We will conduct the following aims:
(1) Implement tools to access, query, and visualize imaging data through web-based interfaces. We will implement tools to: i) access and share image information from user-specified collections, cases, studies, or series; ii) query images and annotations by their attributes. The querying can be performed in a user-friendly interface or with SQL language; iii) visualize CT images and annotations.
(2) Implement image processing module to support image normalization and segmentation for machine learning. The module will consist of the following automated processing steps: i) Image normalization; ii) Lung segmentation; and iii) Nodule detection and segmentation.
William Hsu, UCLA