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Donut Base Medical Handwritten Prescriptions Information Extraction Final
A medical handwritten prescription information extraction model based on the Donut architecture, designed to extract structured information from medical prescription images
Downloads 47
Release Time : 5/15/2023
Model Overview
This model is a fine-tuned version of naver-clova-ix/donut-base, specifically designed for medical handwritten prescription recognition and information extraction tasks
Model Features
Medical Domain Specialization
Optimized specifically for medical handwritten prescriptions, effectively recognizing medical terminology and prescription formats
End-to-End Processing
Directly processes from image input to structured output without intermediate OCR steps
Handwriting Recognition Capability
Optimized for doctors' handwriting styles to improve recognition accuracy
Model Capabilities
Medical Prescription Image Processing
Handwritten Text Recognition
Structured Information Extraction
Medical Entity Recognition
Use Cases
Medical Informatization
Electronic Medical Record System Integration
Digitizing handwritten prescriptions and integrating them into electronic medical record systems
Improving efficiency in medical record digitization
Pharmacy Prescription Processing
Automatically identifying medication and dosage information in prescriptions
Reducing manual input errors
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