A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns
Authors
Lucas Salvador Bernardo
Department of Software Engineering, Kaunas University of Technology, Lithuania
Robertas Damaševičius
Department of Software Engineering, Kaunas University of Technology, Lithuania
Victor Hugo C. De Albuquerque
Department of Teleinformatics Engineering, Federal University of Ceara, Brazil
Rytis Maskeliūnas
Department of Multimedia Engineering, Kaunas University of Technology, Lithuania
Language: English
Page range: 549 - 561
Submitted on: Jan 1, 2021
Accepted on: Sep 5, 2021
Published on: Dec 30, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2021 Lucas Salvador Bernardo, Robertas Damaševičius, Victor Hugo C. De Albuquerque, Rytis Maskeliūnas, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.