Publications by authors named "Bai Ying Lei"
Article Synopsis
- - The multi-attention guided UNet (MAUNet) is proposed for improved segmentation of thyroid nodules, addressing challenges due to their varying sizes and positions using a multi-scale cross attention (MSCA) module for better feature extraction.
- - A dual attention (DA) module enhances information sharing between the encoder and decoder in the UNet architecture, further refining segmentation results.
- - Extensive tests on ultrasound images from 17 hospitals reveal that MAUNet achieves high Dice scores (around 0.9) and outperforms existing segmentation methods, demonstrating effective generalization across diverse datasets while maintaining patient privacy through federal learning.
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. The noninvasive and accurate classification of NAFLD is still a challenging problem. In this study we pro- posed a new quantitative ultrasound (QUS) technique, which combined multiple QUS parameters for distinguishing steatosis stages.
View Article and Find Full Text PDFPrediction of protein-protein interactions (PPIs) is of great significance. To achieve this, we propose a novel computational method for PPIs prediction based on a similarity network fusion (SNF) model for integrating the physical and chemical properties of proteins. Specifically, the physical and chemical properties of protein are the protein amino acid mutation rate and its hydrophobicity, respectively.
View Article and Find Full Text PDF