Cargando…
Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features
Early Parkinson’s Disease (PD) diagnosis is a critical challenge in the treatment process. Meeting this challenge allows appropriate planning for patients. However, Scan Without Evidence of Dopaminergic Deficit (SWEDD) is a heterogeneous group of PD patients and Healthy Controls (HC) in clinical and...
Autores principales: | Khachnaoui, Hajer, Khlifa, Nawres, Mabrouk, Rostom |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032319/ https://www.ncbi.nlm.nih.gov/pubmed/35448224 http://dx.doi.org/10.3390/jimaging8040097 |
Ejemplares similares
-
CADA—computer-aided DaTSCAN analysis
por: Augimeri, Antonio, et al.
Publicado: (2016) -
Positive FP-CIT SPECT (DaTSCAN) in Clinical Alzheimer's Disease – An Unexpected Finding?
por: Bittner, Verena, et al.
Publicado: (2011) -
Is nigrostriatal dopaminergic deficit necessary for Holmes tremor to develop? The DaTSCAN and IBZM SPECT study
por: Gajos, Agata, et al.
Publicado: (2017) -
An Ensemble of CNN Models for Parkinson’s Disease Detection Using DaTscan Images
por: Kurmi, Ankit, et al.
Publicado: (2022) -
Impact of DaTscan Imaging on Clinical Decision Making in Clinically Uncertain Parkinson’s Disease
por: Isaacson, Jonathan R., et al.
Publicado: (2021)