The Use of Convolutional Neural Networks in Biomedical Data Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00319262" target="_blank" >RIV/68407700:21730/17:00319262 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-64265-9_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-64265-9_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-64265-9_9" target="_blank" >10.1007/978-3-319-64265-9_9</a>
Alternative languages
Result language
angličtina
Original language name
The Use of Convolutional Neural Networks in Biomedical Data Processing
Original language description
In this work, we study the use of convolutional neural networks for biomedical signal processing. Convolutional neural networks show promising results for classifying images when compared to traditional multilayer perceptron, as the latter do not take spatial structure of the data into an account.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NV15-31398A" target="_blank" >NV15-31398A: Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-319-64264-2
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
20
Pages from-to
100-119
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Lyon
Event date
Aug 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458801900009