Diagnostics support of musculoskeletal diseases using artificial neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918035" target="_blank" >RIV/00216275:25530/21:39918035 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/AE51540.2021.9542877" target="_blank" >http://dx.doi.org/10.23919/AE51540.2021.9542877</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE51540.2021.9542877" target="_blank" >10.23919/AE51540.2021.9542877</a>
Alternative languages
Result language
angličtina
Original language name
Diagnostics support of musculoskeletal diseases using artificial neural network
Original language description
A vestibular schwannoma is a benign tumor, developing in the inner ear. As it grows, it may affect patient's hearing and body balance. If not treated, it can also lead to death of the patient. Once it becomes a problem, it is surgically removed. During the surgery, there is a high risk that surrounding nerves become harmed (it causes problems with facial movement). This document discusses evaluation of such injury, based on a modern approach of classification using artificial neural network.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 International Conference on Applied Electronics
ISBN
978-80-261-0972-3
ISSN
1803-7232
e-ISSN
1805-9597
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Plzeň
Event date
Sep 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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