  Ultrasound-Guided Regional Anesthesia (UGRA) has been gaining importance in
the last few years, offering numerous advantages over alternative methods of
nerve localization (neurostimulation or paraesthesia). However, nerve detection
is one of the most tasks that anaesthetists can encounter in the UGRA
procedure. Computer aided system that can detect automatically region of nerve,
would help practitioner to concentrate more in anaesthetic delivery. In this
paper we propose a new method based on deep learning combined with
spatiotemporal information to robustly segment the nerve region. The proposed
method is based on two phases, localisation and segmentation. The first phase,
consists in using convolutional neural network combined with spatial and
temporal consistency to detect the nerve zone. The second phase utilises active
contour model to delineate the region of interest. Obtained results show the
validity of the proposed approach and its robustness.
