An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.
- DOI
- 10.1016/j.compmedimag.2020.101810
- Published
- 2021 Jan
- Container
- Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compmedimag.2020.101810,
title = {An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.},
author = {Mohammed F and He X and Lin Y},
year = {2021},
journal = {Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
doi = {10.1016/j.compmedimag.2020.101810},
url = {https://doi.org/10.1016/j.compmedimag.2020.101810}
}RIS
TY - JOUR TI - An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images. AU - Mohammed F AU - He X AU - Lin Y PY - 2021 JO - Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society DO - 10.1016/j.compmedimag.2020.101810 UR - https://doi.org/10.1016/j.compmedimag.2020.101810 ER -
APA
F, M., X, H., & Y, L. (2021). An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. https://doi.org/10.1016/j.compmedimag.2020.101810
Source records
- pubmed · retrieved 2026-09-25T01:53:55.701Z