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Donut Base Medical Handwritten Prescriptions Information Extraction
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Donut Base Medical Handwritten Prescriptions Information Extraction

Developed by mjawadazad2321
A fine-tuned Donut model for extracting text information from handwritten medical prescription images.
Image-to-Text
Transformers
Open Source License:MIT#Medical Prescription Recognition#Handwritten Text Extraction#Document Understanding Transformer
Downloads 71
Release Time : 10/15/2022

Model Overview

This model is a fine-tuned version of naver-clova-ix/donut-base on an image folder dataset, specialized in extracting key text information from handwritten medical prescriptions.

Model Features

Handwritten Text Recognition
Optimized for extracting handwritten text in medical prescriptions
Medical Domain Optimization
Specially trained for professional terminology and formats in medical prescriptions
Based on Donut Architecture
Utilizes advanced document understanding transformer architecture for high-quality text extraction

Model Capabilities

Handwritten Text Recognition
Medical Prescription Information Extraction
Image to Text Conversion

Use Cases

Medical Informatization
Electronic Medical Record Entry
Automatically convert handwritten medical prescriptions into electronic text for EMR system entry
Prescription Digital Management
Assist hospitals and pharmacies in digital management and storage of prescription information
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