Individual skill

tooluniverse-medical-imaging-radiology

Discover and characterize cancer radiology imaging cohorts from The Cancer Imaging Archive (TCIA) — list public collections (e.g. LIDC-IDRI, TCGA-GBM, TCGA-LUAD, TCGA-BRCA), enumerate patients/subjects and studies within a collection, browse DICOM series by modality (CT, MR, PT, CR, DX, US, NM) or body part (CHEST, BRAIN, ABDOMEN, ...), pull series-level DICOM metadata and scanner manufacturer, estimate download size before pulling data, and enumerate individual DICOM instance (slice) UIDs within a series. Use when someone asks to "find a CT/MRI/PET imaging cohort for [cancer type]", "how many patients/studies/series are in [TCIA collection]", "what imaging modalities/body parts/scanners does [collection] have", "look up DICOM series metadata for [SeriesInstanceUID]", "estimate the size of this TCIA series before downloading", or "build a radiology imaging research cohort". NOT for microscopy/cell imaging quantification (use tooluniverse-image-analysis), NOT for actual DICOM pixel...

plugins/tooluniverse/skills/tooluniverse-medical-imaging-radiology/SKILL.md

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Nov 8, 2026
License
Apache-2.0

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# Cancer Radiology Imaging Cohort Discovery (TCIA)

Discover and characterize public cancer imaging cohorts from The Cancer
Imaging Archive (TCIA, National Cancer Institute) — collection, patient,
study, and DICOM series-level metadata for building or scoping a radiology
research cohort.

## Scope: what this skill can and cannot do

**Can:** enumerate collections, patients, studies, and series; filter by
modality/body part/manufacturer; pull DICOM series-level metadata (scanner,
acquisition, license); estimate series download size; list individual DICOM
instance (slice) UIDs.