An OCR-based application using Tesseract engine to extract text information from ultrasound B-MODE images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F24%3AA0001431" target="_blank" >RIV/47813059:19240/24:A0001431 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3792/paper12.pdf" target="_blank" >https://ceur-ws.org/Vol-3792/paper12.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

An OCR-based application using Tesseract engine to extract text information from ultrasound B-MODE images

Original language description

In this paper we introduce our developed OCR-based application focused on the extraction of text data from ultrasound B-MODE images. These images contain not only visual image but also additional, important text information about the examination, image data, etc. The extraction of these data is helpful in clinical practice. The application has a simple, user-friendly interface to use. The core of the algorithm to extract the text data is focused on Tesseract engine with C# programming language; front-end is a Windows Forms application. Although this software is fast, simple and user-friendly, in some cases, the recognition could produce a error, like patient’s name incorrectly recognized and/or some characters are missing or mistaken. That means, some text in the image could be missed or misinterpreted in comparison with the original. However, while the software could be a helpful tool, the recognition accuracy should be improved. After that, the application can be used for different types of medical images, e.g. CT/CTA, PET, SPECT and many more. Currently achieved accuracy is about 90 % in average. The authors discuss some ideas to increase the accuracy of the recognition and also some front-end features that can be improved for more comfortable use. Extracted text data can be saved as a CSV file for further processing.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 24th Conference Information Technologies – Applications and Theory (ITAT 2024)

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

6

Pages from-to

105-110

Publisher name

CEUR-WS

Place of publication

Neuveden

Event location

Drienica (Slovensko)

Event date

Sep 20, 2024

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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