Automated machine learning (AutoML)‐based surface registration methodology for image‐guided surgical navigation system
Author:
Affiliation:
1. Korea University Research Institute for Medical Bigdata Science College of Medicine Korea University Seoul Republic of Korea
2. Department of Artificial Intelligence Sejong University Seoul Republic of Korea
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15696
Reference56 articles.
1. Surgical Navigation: A Systematic Review of Indications, Treatments, and Outcomes in Oral and Maxillofacial Surgery
2. Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy
3. A robust automated markerless registration framework for neurosurgery navigation
4. Feature-Guided Nonrigid 3-D Point Set Registration Framework for Image-Guided Liver Surgery: From Isotropic Positional Noise to Anisotropic Positional Noise
5. Accuracy Validation in a Cadaver Model of Cranial Neuronavigation Using a Surface Autoregistration Mask
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