Deep Learning-Based Parkinson's Disease Classification Using RGB Plantar Pressure Gait Images: A Comparative Study of CNN and Transformer Architectures.
- DOI
- 10.3390/diagnostics16183021
- Published
- 2026 Sep 17
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16183021,
title = {Deep Learning-Based Parkinson's Disease Classification Using RGB Plantar Pressure Gait Images: A Comparative Study of CNN and Transformer Architectures.},
author = {Li CY and Hung YW and Xu JL},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16183021},
url = {https://doi.org/10.3390/diagnostics16183021}
}RIS
TY - JOUR TI - Deep Learning-Based Parkinson's Disease Classification Using RGB Plantar Pressure Gait Images: A Comparative Study of CNN and Transformer Architectures. AU - Li CY AU - Hung YW AU - Xu JL PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16183021 UR - https://doi.org/10.3390/diagnostics16183021 ER -
APA
CY, L., YW, H., & JL, X. (2026). Deep Learning-Based Parkinson's Disease Classification Using RGB Plantar Pressure Gait Images: A Comparative Study of CNN and Transformer Architectures.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16183021
Source records
- pubmed · retrieved 2026-09-26T15:36:54.483Z