Machine Vision for Real-Time Intraoperative Anatomic Guidance: A Proof-of-Concept Study in Endoscopic Pituitary Surgery.

Victor Egon StaartjesAnna VolokitinLuca RegliEnder KonukogluCarlo Serra

Published in: Operative neurosurgery (Hagerstown, Md.) (2021)

Automated recognition of anatomic structures in endoscopic videos by means of a machine vision model using only the endoscopic camera without prior explicit anatomo-topographic knowledge is feasible. This proof of concept encourages further development of fully automated software for real-time intraoperative anatomic guidance during surgery.

Keyphrases

deep learning
ultrasound guided
minimally invasive
coronary artery bypass
machine learning
high throughput
convolutional neural network
healthcare
surgical site infection
patients undergoing
endoscopic submucosal dissection
mass spectrometry
data analysis
growth hormone