CT_DeepLesion-MedSAM2 is a dataset for medical imaging research, hosted by wanglab on Hugging Face. The dataset was last updated on August 21, 2025. The authors include researchers from the University Health Network and Vector Institute.
Use Cases
- Training segmentation models for lesion detection based on CT scan data.
- Benchmarking medical image analysis algorithms based on the described lesion detection focus.
- Developing computer-aided diagnosis tools based on annotated medical imaging data.
Strengths
- Dataset is hosted on a major platform (Hugging Face) with a last update timestamp of 2025-08-21.
- Authorship includes researchers from recognized institutions like the University Health Network.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- wanglab (Hugging Face)
- Collection Method
- Likely derived from the DeepLesion dataset for medical imaging research.
- Time Range
- null
- Freshness
- Last updated 2025-08-21 20:15:10; freshness should be verified.
- Geography
- null