PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction

1 code implementation • 27 Feb 2024 • Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Yuqing Peng, Yonghong Li, Changmiao Wang

In a clinical setting, physicians tend to rely on the contextual information provided by Electronic Medical Records (EMR) to interpret medical imaging.

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation

1 code implementation • 22 Dec 2023 • Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang

These findings demonstrate that our method exhibits strong performance in PE segmentation tasks, potentially enhancing the accuracy of automatic segmentation of PE and providing a powerful diagnostic tool for clinical physicians.

Image Segmentation Segmentation +1