Parkinson’s disease detection using modified ResNeXt deep learning model from brain MRI images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08535-9.pdf
Reference15 articles.
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2. Basnin N, Nazmun N, Anika FA, Hossain MS, Andersson K. (2021) Deep Learning Approach to Classify Parkinson’s Disease from MRI Samples." In International Conference on Brain Informatics, pp. 536–547. Springer, Cham
3. Chakraborty A, Brauer S, Diwan A (2020) Possible therapies of Parkinson’s disease: a review. J Clin Neurosci 75:1–4
4. Del Prete E, Francesconi A, Palermo G, Mazzucchi S, Frosini D, Morganti R, Coleschi P et al (2021) Prevalence and impact of COVID-19 in Parkinson’s disease: evidence from a multi-center survey in Tuscany region. J Neurol 268(4):1179–1187
5. Golfrè Andreasi N, Romito LM, Telese R, Cilia R, Elia AE, Novelli A, Tringali G et al (2022) Short-and long-term motor outcome of STN-DBS in Parkinson’s Disease: focus on sex differences. Neurol Sci 43(3):1769–1781
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