Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F12%3A%230004409" target="_blank" >RIV/47813059:19240/12:#0004409 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification

Original language description

This paper shows how to classify the medical ultrasound images by using artificial intelligence with experimental software with MATLAB. The main goal is a classification of ROI substantia nigra in midbrain. This classification of the images is useful todetection Parkinson´s disease. This work is based on image processing and is realized with the help of artificial intelligence which has been experimentally simulated in MATLAB software environment. This method is well applicable with Neural Network Toolbox in MATLAB.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

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

Article name in the collection

Mipro proceedings IEEE, Croatia

ISBN

9781467325776

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

958-962

Publisher name

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Place of publication

Opatija, Chorvatsko

Event location

Opatija, Chorvatsko

Event date

Jan 1, 2012

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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