Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)
Parkinson’s disease (PD) is the second most common neurodegenerative disorder affecting over 6 million people globally. Although there are symptomatic treatments that can increase the survivability of the disease, there are no curative treatments. The prevalence of PD and disability-adjusted life ye...
Enregistré dans:
Auteurs principaux: | Hui Wen Loh, Wanrong Hong, Chui Ping Ooi, Subrata Chakraborty, Prabal Datta Barua, Ravinesh C. Deo, Jeffrey Soar, Elizabeth E. Palmer, U. Rajendra Acharya |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/5b74bde7b8b4494c81f17c469202c55b |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
SAFIR-I: Design and Performance of a High-Rate Preclinical PET Insert for MRI
par: Pascal Bebié, et autres
Publié: (2021) -
Imaging Cognitive Impairment and Impulse Control Disorders in Parkinson's Disease
par: Antonio Martín-Bastida, et autres
Publié: (2021) -
Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension
par: Moretti DV
Publié: (2016) -
Diagnóstico precoz de enfermedad de Parkinson: neurospect del transportador de Dopamina
par: Díaz,Fernando, et autres
Publié: (2002) -
SPECT/CT preoperatorio, una nueva herramienta diagnóstica para localizar adenomas paratiroideos: Presentación de 2 casos clínicos
par: PRUZZO C,ROSSANA, et autres
Publié: (2010)