CPathPatchFeature provides a collection of pre-extracted features from Whole Slide Images for various cancer types. The dataset was created by Dearcat and was last updated on October 30, 2025. It is designed to facilitate research in computational pathology.
Use Cases
- Training slide-level classification models based on pre-extracted WSI features.
- Developing weakly supervised learning methods for computational pathology.
- Benchmarking feature extraction and aggregation techniques for medical image analysis.
- Conducting cancer type prediction research using multi-feature representations.
Strengths
- Features are pre-extracted, potentially reducing computational overhead for researchers.
- Associated with a published paper and public code repository for methodological context.
- Last updated on 2025-10-30, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The full description is hosted externally, requiring a click-through for complete details.
Provenance
- Source
- Dearcat
- Collection Method
- Features extracted from Whole Slide Images using multiple methods, as referenced in the associated paper.
- Time Range
- null
- Freshness
- Last updated 2025-10-30 02:17:39.
- Geography
- null