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Donut Base Medical Handwritten Blocks Data Extraction
A model based on the Donut architecture, specifically designed for extracting structured data from medical handwritten documents
Downloads 15
Release Time : 10/26/2022
Model Overview
This model is a fine-tuned version of naver-clova-ix/donut-base, focusing on information extraction tasks for handwritten documents in the medical field.
Model Features
Specialized for Medical Documents
Optimized information extraction capabilities specifically for handwritten documents in the medical field
Based on Donut Architecture
Utilizes the advanced Document Understanding Transformer architecture to effectively process document images
End-to-End Training
Direct end-to-end processing pipeline from images to structured data
Model Capabilities
Medical Document Image Understanding
Handwritten Text Recognition
Structured Data Extraction
Document Information Parsing
Use Cases
Medical Document Processing
Prescription Information Extraction
Automatically extracts drug names, dosages, and usage instructions from handwritten prescriptions
Medical Record Form Parsing
Extracts structured patient information from medical forms
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