Multi-Template Meta-Information Regularized Network for Alzheimer’s Disease Diagnosis Using Structural MRI

Multi-Template Meta-Information Regularized Network for Alzheimer’s Disease Diagnosis Using Structural MRI

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Alzheimer’s disease   multi-template   meta-information   mutual information   MRI   disease diagnosis  

Multi-template Meta-information Regularized Network for Alzheimer’s Disease Diagnosis: A Study Based on Structural MRI Research Background Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, and its diagnosis and early detection is a significant challenge in the medical field. Structural MRI (sMRI) is widely used in computer-aided...

Balancing Feature Alignment and Uniformity for Few-Shot Classification

Balancing Feature Alignment and Uniformity for Few-Shot Classification

Information Science, Artificial Intelligence,
few-shot learning   mutual information   feature representation   knowledge distillation   self-supervised augmentation  

Solving Few-Shot Classification Problems with Balanced Feature Alignment and Uniformity Background and Motivation The goal of Few-Shot Learning (FSL) is to correctly recognize new samples with only a few examples from new classes. Existing few-shot learning methods mainly learn transferable knowledge from base classes by maximizing the information ...