Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms-Reference-Cited by-同舟云学术

Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms

Published:2020-04 Issue:2 Volume:16 Page:
ISSN:1478-5951
Container-title:The International Journal of Medical Robotics and Computer Assisted Surgery
language:en
Short-container-title:Int J Med Robot

Author:

Villanueva‐Naquid Iván¹^ORCID,Soubervielle‐Montalvo Carlos¹^ORCID,Aguilar‐Ponce Ruth M.²^ORCID,Tovar‐Arriaga Saúl³^ORCID,Cuevas‐Tello Juan C.¹^ORCID,Puente‐Montejano Cesar A.¹^ORCID,Mejia‐Carlos Marcela⁴^ORCID,Torres‐Corzo Jaime G.⁵^ORCID

Affiliation:

1. Engineering FacultyAutonomous University of San Luis Potosí San Luis Potosí México

2. Sciences FacultyAutonomous University of San Luis Potosí San Luis Potosí México

3. Engineering FacultyAutonomous University of Querétaro Querétaro México

4. Optical Communication Research InstituteAutonomous University of San Luis Potosí San Luis Potosí México

5. Department of NeurosurgeryHospital Central Dr. Ignacio Morones Prieto San Luis Potosí México

Publisher

Wiley

Subject

Computer Science Applications,Biophysics,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rcs.2060

Reference39 articles.

1. The Keyhole Concept in Neurosurgery

2. Localization and registration accuracy in image guided neurosurgery: a clinical study

3. A survey on deep learning in medical image analysis

4. Review of computational methods on brain symmetric and asymmetric analysis from neuroimaging techniques;Kalavathi P;Technol,2017

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