Schema Validated Medical Imaging Metadata Extraction And Normalization

via “publication-metadata-extraction-and-normalization”

MCP server: scholarmcp

Unique: Provides automatic metadata extraction and normalization across heterogeneous academic sources, translating source-specific formats into consistent JSON schemas that agents can consume uniformly

vs others: Reduces data cleaning burden compared to manual parsing of source-specific formats, enabling agents to work with standardized paper records without custom per-source extraction logic

via “schema-validated medical imaging metadata extraction and normalization”

Dataset by mrmrx. 11,96,921 downloads.

Unique: Implements MLCroissant-based schema validation for medical imaging metadata, enforcing type consistency and categorical standardization across 12M+ heterogeneous samples — enabling reproducible, schema-compliant feature engineering without custom per-dataset preprocessing logic

vs others: More rigorous than manual metadata cleaning (e.g., pandas groupby operations) because schema violations are caught at load time; more flexible than hard-coded DICOM parsers because schema can be versioned and updated independently of code