45 citations
3 papers
eess.IV2022★ 45 cited
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation
Liqun Huang, Long Chen, Baihai Zhang +1
Brain tumor segmentation remains a challenge in medical image segmentation tasks. With the application of transformer in various computer vision tasks, transformer blocks show the…
q-bio.QM2019★ 8 cited
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Eryu Xia, Xin Du, Jing Mei +8
Cluster analysis aims at separating patients into phenotypically heterogenous groups and defining therapeutically homogeneous patient subclasses. It is an important approach in dat…
cs.CV2017
Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm
Chenchu Xu, Lei Xu, Zhifan Gao +7
Accurate detection of the myocardial infarction (MI) area is crucial for early diagnosis planning and follow-up management. In this study, we propose an end-to-end deep-learning al…