Early Diagnosis of Parkinson’s Disease Through Lite HGWA-Net Model: A Hybrid CNN Based on Wavelet Transform and Attention Mechanism
- DOI
- 10.3390/diagnostics16040550
- Published
- 2026-02-13
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16040550,
title = {Early Diagnosis of Parkinson’s Disease Through Lite HGWA-Net Model: A Hybrid CNN Based on Wavelet Transform and Attention Mechanism},
author = {Zohre Yaghoubi and Saeed Setayeshi and Sara Motamed and Malihe Sabeti},
year = {2026},
journal = {Diagnostics},
doi = {10.3390/diagnostics16040550},
url = {https://doi.org/10.3390/diagnostics16040550}
}RIS
TY - JOUR TI - Early Diagnosis of Parkinson’s Disease Through Lite HGWA-Net Model: A Hybrid CNN Based on Wavelet Transform and Attention Mechanism AU - Zohre Yaghoubi AU - Saeed Setayeshi AU - Sara Motamed AU - Malihe Sabeti PY - 2026 JO - Diagnostics DO - 10.3390/diagnostics16040550 UR - https://doi.org/10.3390/diagnostics16040550 ER -
APA
Yaghoubi, Z., Setayeshi, S., Motamed, S., & Sabeti, M. (2026). Early Diagnosis of Parkinson’s Disease Through Lite HGWA-Net Model: A Hybrid CNN Based on Wavelet Transform and Attention Mechanism. Diagnostics. https://doi.org/10.3390/diagnostics16040550
Source records
- crossref · retrieved 2026-09-25T23:37:32.712Z