University Hospital Tübingen and LMU Munich collected PET/CT scans for patients with lymphoma, malignant melanoma, and lung cancer. The AutoPET-RG-Lym subset contains 135 lymphoma cases selected from the public AutoPET dataset. The dataset was created by jwppku to promote community benchmarking of PET/CT report generation.
Use Cases
- Benchmarking automated PET/CT report generation models based on lymphoma imaging data.
- Training AI models for lymphoma detection and classification based on PET/CT scans.
- Developing multimodal models that integrate PET and CT imaging data for oncology.
- Studying the correlation between PET/CT imaging features and clinical outcomes for lymphoma.
Strengths
- Contains 135 carefully selected lymphoma cases.
- Data originates from two university hospitals, suggesting clinical relevance.
- Commissioned annotations from two senior nuclear medicine professionals.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the two German hospital sources.
Provenance
- Source
- University Hospital Tübingen and University Hospital of the LMU Munich.
- Collection Method
- Constructed from lymphoma cases in the public AutoPET dataset.
- Freshness
- Last updated 2026-04-22 13:13:34; freshness should be verified.
- Geography
- Germany.