FRR-NET: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm Repair.
Yan-Jie ZhouXiao-Liang XieZeng-Guang HouGui-Bin BianShi-Qi LiuXiao-Hu ZhouPublished in: ISBI (2020)
Keyphrases
- abdominal aortic aneurysm
- real time
- beating heart
- minimally invasive
- real time tracking
- guide wire
- motion segmentation
- electronic patient record
- image segmentation
- x ray
- level set
- moving object extraction
- segmentation method
- segmentation algorithm
- moving target
- haptic feedback
- magnetic resonance images
- augmented reality
- intraoperative
- recurrent neural networks
- medical imaging
- particle filter
- visual inspection
- x ray images
- surgical planning
- motion compensation
- appearance model
- aortic valve
- aortic valve implantation