Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

Lignende værker

• Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images
  af: Da Ma, et al.
  Udgivet: (2020-10-01)
• Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
  af: Lu, Donghuan, et al.
  Udgivet: (2018)
• Quantifying brain metabolism from FDG‐PET images into a probability of Alzheimer's dementia score
  af: Yee, Evangeline, et al.
  Udgivet: (2019)
• Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases
  af: Popuri, Karteek, et al.
  Udgivet: (2020)
• Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging
  af: Popuri, Karteek, et al.
  Udgivet: (2018)