Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images

OBJECTIVE: Deep learning algorithms have long been involved in the diagnosis of severe neurological disorders that interfere with patients’ everyday tasks, such as Parkinson’s disease (PD). The most effective imaging modality for detecting the condition is DaTscan, a variety of single-photon emissio...

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Detalles Bibliográficos
Autores principales: Thakur, Mahima, Kuresan, Harisudha, Dhanalakshmi, Samiappan, Lai, Khin Wee, Wu, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326232/
https://www.ncbi.nlm.nih.gov/pubmed/35912076
http://dx.doi.org/10.3389/fnagi.2022.908143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326232/
https://www.ncbi.nlm.nih.gov/pubmed/35912076
http://dx.doi.org/10.3389/fnagi.2022.908143

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