Machine Learning‐Based Optoacoustic Tissue Classification Method for Laser Osteotomes Using an Air‐Coupled Transducer-Reference-Cited by-同舟云学术

Machine Learning‐Based Optoacoustic Tissue Classification Method for Laser Osteotomes Using an Air‐Coupled Transducer

Published:2020-07-02 Issue:3 Volume:53 Page:377-389
ISSN:0196-8092
Container-title:Lasers in Surgery and Medicine
language:en
Short-container-title:Lasers Surg Med

Author:

Nguendon Kenhagho Hervé¹^ORCID,Canbaz Ferda¹^ORCID,Gomez Alvarez‐Arenas Tomas E.²^ORCID,Guzman Raphael³⁴,Cattin Philippe⁵^ORCID,Zam Azhar¹^ORCID

Affiliation:

1. Biomedical Laser and Optics Group, Department of Biomedical Engineering University of Basel Gewerbestrasse 14 Allschwil 4123 Switzerland

2. Department of Ultrasonic and Sensors Technologies, Information and Physical Technologies Institute ITEFI Spanish National Research Council (CSIC) Serrano 144 Madrid 28006 Spain

3. Brain Ischemia and Regeneration, Department of Biomedicine University of Basel, University Hospital of Basel Basel 4031 Switzerland

4. Neurosurgery Group, Department of Biomedical Engineering University of Basel Allschwil 4123 Switzerland

5. Department of Biomedical Engineering, Center for Medical Image Analysis and Navigation University of Basel Gewerbestrasse 14 Allschwil 4123 Switzerland

Publisher

Wiley

Subject

Dermatology,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lsm.23290

Reference61 articles.

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3. Bone damage induced by different cutting instruments: an in vitro study

4. A comparative investigation of bone surface after cutting with mechanical tools and Er:YAG laser

5. Differentiation of femur bone from surrounding soft tissue using laser‐induced breakdown spectroscopy as a feedback system for smart laserosteotomy (SPIE Photonics Europe);Abbasi H;SPIE,2018

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