SCUNet++: Assessment of Pulmonary Embolism CT Image Segmentation Leveraging Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection.
Yifei ChenBinfeng ZouZhaoxin GuoYiyu HuangYifan HuangFeiwei QinQinhai LiChangmiao WangPublished in: CoRR (2023)
Keyphrases
- hybrid architecture
- pulmonary embolism
- image segmentation
- dual energy
- completely automated
- lung parenchyma
- graph cuts
- medical imaging
- fully automated
- image processing
- medical images
- data fusion
- fused image
- information fusion
- computer vision
- multiscale
- computed tomography
- x ray
- active contours
- deformable models
- agent architecture
- ct scans
- fusion method
- extracting features
- level set
- image analysis
- gray level
- process management
- ct images
- total hip arthroplasty