The following combination of programs is recommended for the specificity of medical texts:
- Model Selection: Mandatory designation
model=mineruparameters, the model has a built-in medical terminology library (with ICD-10 codes) - preprocessing enhancement: For blurry handwritten prescriptions, image enhancement was performed with PP-StructureV3 before submitting them for recognition
- Terminology amendments: Add to the API request
specialty=medicalHeader field to activate domain adaptive algorithm - Dual Checksum Mechanism: Simultaneously run MonkeyOCR Quick Edition to get the initial results, and use the Dolphin model to double-check the key fields.
- Formatting of results: Select Markdown output format, and the system will automatically label key fields such as drug dosage and diagnosis results.
This answer comes from the articleAI Fast Station: document parsing tool for comparing OCR models in one clickThe
May not be reproduced without permission:AI productivity tools " Solving the problem of missed terminology detection in OCR recognition of medical records
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