Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset

Galaz Zoltán and Drotar Péter and Mekyska Jiri and Gazda Matej and Mucha Jan and Zvoncak Vojtech and Smekal Zdenek and Faundez-Zanuy Marcos and Castrillon Reinel and Orozco-Arroyave Juan Rafael and Rapcsak Steven and Kincses Zsigmond Tamás and Brabenec Lubos and Rektorova Irena: Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.
FRONTIERS IN NEUROINFORMATICS, 16. Terjedelem: 18 p.-Azonosító: 877139. ISSN 1662-5196 (2022)

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Item Type: Journal Article
Journal or Publication Title: FRONTIERS IN NEUROINFORMATICS
Date: 2022
Volume: 16
Page Range: Terjedelem: 18 p.-Azonosító: 877139
ISSN: 1662-5196
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 33044491
DOI azonosító: https://doi.org/10.3389/fninf.2022.877139
Date Deposited: 2022. Aug. 10. 08:57
Last Modified: 2022. Aug. 10. 08:57
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/24865
Web of Science® Times Cited: 2 View citing articles in Web of Science®

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