6 citations · 7 across the 4 of their papers we have counts for
4 papers
An Efficient Out-of-Core Tomographic Imaging Framework for Edge Devices
Xuetao Chen, Cong Ma, Xiangyu Meng +10
Computed Tomography (CT) is an essential 3D imaging technology widely used in medical diagnostics and scientific research. However, performing CT imaging on edge devices is challen…
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information
Xiangyu Meng, Xue Li, Qing Yang +5
Benefiting from the advancements in deep learning, various genomic analytical techniques, such as survival analysis, classification of tumors and their subtypes, and exploration of…
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
Xiaotong Fu, Xiangyu Meng, Jing Zhou +1
Lung cancer, particularly in its advanced stages, remains a leading cause of death globally. Though early detection via low-dose computed tomography (CT) is promising, the identifi…
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessor
Xiangyu Meng, Xudong Zhang, Gan Wang +5
Liver cancer is one of the most common malignant diseases in the world. Segmentation and labeling of liver tumors and blood vessels in CT images can provide convenience for doctors…