Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer-Reference-Cited by-同舟云学术

Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer

Published:2023-10 Issue:10 Volume:70 Page:2863-2873
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Hassan Mohamed Abul¹^ORCID,Weyers Brent W¹^ORCID,Bec Julien¹^ORCID,Fereidouni Farzad¹^ORCID,Qi Jinyi¹^ORCID,Gui Dorina²^ORCID,Bewley Arnaud F.³^ORCID,Abouyared Marianne³,Farwell D. Gregory⁴,Birkeland Andrew C.³^ORCID,Marcu Laura⁵^ORCID

Affiliation:

1. Department of Biomedical Engineering, University of California Davis, USA

2. Department of Pathology and Laboratory Medicine, University of California Davis, USA

3. Department of Otolaryngology – Head and Neck Surgery, University of California Davis, USA

4. University of California Davis, USA

5. Department of Biomedical Engineering, University of California Davis, Davis, CA, USA

Funder

National Institutes of Health

National Center for Interventional Biophotonic Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10265275/10100862.pdf?arnumber=10100862

Reference43 articles.

1. A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-squares deconvolution with Laguerre expansion

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3. Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients

4. Intraoperative Fluorescence‐Guided Surgery in Head and Neck Squamous Cell Carcinoma

5. Real-Time Visualization of Tissue Surface Biochemical Features Derived From Fluorescence Lifetime Measurements

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