An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images.

Paolo Cabras Florent NageottePhilippe ZanneChristophe Doignon

Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2017)

The proposed method provides an automatic and accurate estimation of the 3D position of the tip of a bendable instrument in realistic conditions, where standard approaches fail.

Keyphrases

deep learning
machine learning
patient reported outcomes
convolutional neural network
ultrasound guided
high resolution
neural network
optical coherence tomography
mass spectrometry