A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy.

Hooman EsfandiariRobyn NewellCarolyn AnglinJohn StreetAntony J Hodgson

Published in: International journal of computer assisted radiology and surgery (2018)

The proposed system offers an accurate and fully automatic pedicle screw segmentation and pose assessment framework. Such a system can help to provide an intraoperative pedicle screw insertion assessment protocol with minimal interference with the existing surgical routines.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
randomized controlled trial
patients undergoing
mass spectrometry
clinical evaluation