Your browser doesn't support javascript.
loading
Using a ResNet-18 Network to Detect Features of Alzheimer's Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on Odusami et al. Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071.
Nicholas, Peter J; To, Alex; Tanglay, Onur; Young, Isabella M; Sughrue, Michael E; Doyen, Stéphane.
Afiliação
  • Nicholas PJ; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
  • To A; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
  • Tanglay O; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
  • Young IM; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
  • Sughrue ME; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
  • Doyen S; Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
Diagnostics (Basel) ; 12(5)2022 Apr 27.
Article em En | MEDLINE | ID: mdl-35626249
ABSTRACT
There is considerable interest in developing effective tools to detect Alzheimer's Disease (AD) early in its course, prior to clinical progression [...].
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article