Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s disease
author
Nõmm, Sven
Zarembo, Sergei
Medijainen, Kadri
Taba, Pille
Toomela, Aaro
statement of authorship
Sven Nõmm, Sergei Zarembo, Kadri Medijainen, Pille Taba, Aaro Toomela
source
IFAC-Papers OnLine
publisher
IEEE
journal volume number month
vol. 53, 5
year of publication
2020
pages
p. 260-264
conference name, date
3rd IFAC Workshop on Cyber-Physical & Human Systems CPHS 2020, 3-5 December 2020
conference location
Beijing, China
url
https://doi.org/10.1016/j.ifacol.2021.04.185
subject term
Parkinsoni tõbi
arvutidiagnostika
sügavõpe
inimene-masin-süsteemid
keyword
computer aided diagnosis
Parkinson’s disease
deep learning classifier
drawing test
human-machine system
notes
Bibliogr. p. 263-264
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
Scopus
https://www.scopus.com/sourceid/21100456158
https://www.scopus.com/record/display.uri?eid=2-s2.0-85107834230&origin=inward&txGid=713f6a8792a6b3887c3efe139a0cf4f7
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000656589700046
category (general)
Engineering
Tehnika
category (sub)
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
quartile
Q3
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
High-assurance software laboratory