A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy-Reference-Cited by-同舟云学术

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

Published:2018-05-28 Issue:8 Volume:13 Page:1269-1282
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Esfandiari Hooman^ORCID,Newell Robyn,Anglin Carolyn^ORCID,Street John,Hodgson Antony J.^ORCID

Funder

Canadian Natural Sciences and Engineering Research Council

Canadian Institutes of Health Research

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s11548-018-1776-9/fulltext.html

Reference27 articles.

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3. Ackbas SC, Arslan FY, Tuncer MR (2003) The effect of transpedicular screw misplacement on late spinal stability. Acta Neurochir 145:949–955

4. Gelalis ID, Paschos NK, Pakos EE, Politis AN, Arnaoutoglou CM, Karageorgos AC, Ploumis A, Xenakis TA (2011) Accuracy of pedicle screw placement: a systematic review of prospective in vivo studies comparing free hand, fluoroscopy guidance and navigation techniques. Eur Spine J 21:247–255

5. Amato V, Giannachi L, Irace C, Corona C (2010) Accuracy of pedicle screw placement in the lumbosacral spine using conventional technique: computed tomography postoperative assessment in 102 consecutive patients: Clinical article. J Neurosurg Spine 12:306–313

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