1 citations · 1 across the 4 of their papers we have counts for
4 papers
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
Xueyao Wang, Xiuding Cai, Honglin Shang +2
Early warning of intraoperative adverse events plays a vital role in reducing surgical risk and improving patient safety. While deep learning has shown promise in predicting the si…
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
Yingkai Wang, Yaoyao Zhu, Xiuding Cai +3
Medical image segmentation plays a crucial role in clinical workflows, but domain shift often leads to performance degradation when models are applied to unseen clinical domains. T…
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
Yaoyao Zhu, Xiuding Cai, Yingkai Wang +3
Deep learning has achieved remarkable success in medical image classification. However, its clinical application is often hindered by data heterogeneity caused by variations in sca…
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu, Xiuding Cai, Xueyao Wang +3
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical image classification. Mainstream data augmentation (DA) methods are usuall…