Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking.
Luis C. García-Peraza-HerreraWenqi LiCaspar GruijthuijsenAlain DevrekerGeorge AttilakosJan DeprestEmmanuel B. Vander PoortenDanail StoyanovTom VercauterenSébastien OurselinPublished in: CARE@MICCAI (2016)
Keyphrases
- surgical tools
- deep learning
- beating heart
- real time
- image guided surgery
- medical imaging
- unsupervised learning
- image segmentation
- minimally invasive surgery
- medical images
- magnetic resonance imaging
- machine learning
- live video
- multiscale
- level set
- segmentation method
- segmentation algorithm
- motion compensation
- mental models
- soft tissue
- image guided
- motion estimation
- weakly supervised
- mr imaging
- object segmentation
- minimally invasive
- three dimensional
- energy function
- multiple objects
- intraoperative
- degrees of freedom