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Donut Base Medical Handwritten Prescriptions Information Extraction
A model based on the Donut architecture for extracting structured information from medical handwritten prescriptions
Downloads 18
Release Time : 2/14/2023
Model Overview
This model is specifically designed to process handwritten prescriptions in the medical field, capable of extracting key information from images and converting it into structured data.
Model Features
Medical domain specialization
Information extraction capabilities specifically optimized for medical handwritten prescriptions
Image-to-text conversion
Capable of directly extracting structured text information from prescription images
Fine-tuned version
A fine-tuned version based on the original Donut model with medical prescription data
Model Capabilities
Handwritten text recognition
Medical information extraction
Image-to-text conversion
Structured data generation
Use Cases
Medical informatization
Electronic medical record system integration
Digitizing handwritten prescriptions and integrating them into electronic medical record systems
Improving medical record management efficiency
Prescription data analysis
Extracting structured data from large volumes of handwritten prescriptions for analysis
Supporting medical research and decision-making
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