radiology-dataset-guide

name	radiology-dataset-guide
description	Guides researchers and developers through radiology dataset selection, access, and utilization for AI development. Use when user mentions "radiology dataset", "medical imaging data", "RSNA challenge", "MIMIC data access", or needs dataset guidance.

Radiology Dataset Guide Skill

Triggers

• "radiology dataset"
• "medical imaging data"
• "RSNA challenge"
• "MIMIC data access"
• "CheXpert download"
• "dataset comparison"
• "training data preparation"
• "public dataset"

Parameters

• task_type (required): ML/AI task being solved
  • detection - Abnormality/nodule/cancer detection
  • segmentation - Organ or lesion segmentation
  • classification - Disease or finding classification
  • reconstruction - Image reconstruction/enhancement
  • quantification - Measurement and feature extraction
• anatomy (optional): Body region or organ system
• modality (optional): Imaging modality preference
• access_requirements (optional): Data use restrictions
• commercial_use (optional): Boolean for commercial application intent

Dataset Inventory

Dataset	Modality	Primary Task	Access	Annotations
RSNA Bone Age	X-ray	Regression	Public	Age, quality
RSNA Pneumonia	Chest X-ray	Detection	Public	Bounding boxes
RSNA Brain Hemorrhage	CT	Detection	Public	Bounding boxes, type
NIH ChestX-ray14	Chest X-ray	Classification	Public	Labels
CheXpert	Chest X-ray	Classification	Institutional	Labels
MIMIC-CXR	Chest X-ray	Multi	PhysioNet	Labels, reports
CheXphoto	Chest X-ray	Classification	Public	Synth/real pairs
LUNA16	CT	Detection	Public	Nodule centers
KiTS	CT	Segmentation	Public	Kidney/tumor
BraTS	MRI	Segmentation	Research	Multi-modal seg
PANDA	Histology	Classification	Public	Biopsy grades
OBJ-CXR	Chest X-ray	Detection	Public	Bounding boxes

Output Format

Returns structured JSON with:

• Relevant datasets ranked by suitability
• Annotation quality and completeness
• Access procedure and requirements
• Key publications and benchmarks
• Preprocessing recommendations
• Compliance and ethics considerations

Usage Examples

task_type: detection
anatomy: lung
modality: CT

task_type: classification
anatomy: chest
commercial_use: true