kirbyju

Guide users through remapping their data to the TCIA imaging submission data model and generating standardized TSVs using ontologies and a tiered conversational flow.

Guide users through proposing a new dataset or analysis results for TCIA, collecting all necessary metadata, and generating a standardized proposal package.

Guide users through creating comprehensive dataset descriptions using the Cancer Imaging Checklist for DAta Sharing (CICADAS).

Find, verify, cite, visualize, and route TCIA-published datasets and verified manuscripts about TCIA data across TCIA WordPress Collection and Analysis Result metadata, TCIA Publications EndNote XML, IDC/idc-index, Cancer Data Aggregator, General Commons, CTDC, PathDB, DataCite, and Aspera. Use when users ask to discover TCIA datasets or publications by cancer type, modality, body site, species, data type, access/license, DOI, program, clinical/supporting data, demographic/diagnosis enrichment, segmentation/annotation availability, browser preview/viewer URL, or download path, including public DICOM, controlled-access datasets, non-DICOM pathology, supporting files, and derived results.