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17 March 2023 Anatomy-specific classification models using FLIm for head & neck cancer surgical guidance
Mohamed Hassan, Brent W. Weyers, Julien Bec, Farzad Fereidouni, Jinyi Qi, Dorina Gui, Andrew C. Birkeland, Arnaud F. Bewley, Marianne Abouyared, D. Gregory Farwell M.D., Laura Marcu
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Proceedings Volume 12354, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2023; 123540D (2023) https://doi.org/10.1117/12.2651235
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Herein, we present an anatomy-specific classification model using FLIm to differentiate between benign tissue, dysplasia, and cancer within the oral cavity and oropharynx. A total of 54 features, comprising both time-resolved and spectral intensity features, were used to train and test the classification model. This anatomy-specific classifier improves on our previous classification approach, now yielding an overall ROC-AUC of 0.94 during binary benign vs. cancer classification, and 0.92 while discriminating between healthy, cancer, and dysplasia. The proposed classification model demonstrates that FLIm has the potential to be used as an adjunctive diagnostic tool to facilitate head and neck cancer surgical guidance.
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Mohamed Hassan, Brent W. Weyers, Julien Bec, Farzad Fereidouni, Jinyi Qi, Dorina Gui, Andrew C. Birkeland, Arnaud F. Bewley, Marianne Abouyared, D. Gregory Farwell M.D., and Laura Marcu "Anatomy-specific classification models using FLIm for head & neck cancer surgical guidance", Proc. SPIE 12354, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2023, 123540D (17 March 2023); https://doi.org/10.1117/12.2651235
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KEYWORDS
Tumor growth modeling
Cancer
Head
Neck
Surgery
Tissues
Tongue
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