EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
GitHub

EEG-Depression-Diagnosis: Transformer - Based EEG Depression Diagnosis

This project targets the clinical depression diagnosis pain points of strong subjectivity and low accuracy in traditional scale assessment. Taking electroencephalogram (EEG) signals as the diagnostic ...
Frontiers

Meta analysis of the diagnostic efficacy of transformer-based multimodal fusion deep learning models in early Alzheimer’s disease

Department of Neurology, Xianyang Hospital of Yan’an University, Xianyang, China Introduction: This study aims to systematically evaluate the diagnostic efficacy of Transformer-based multimodal fusion ...