A classifier for dynamic thermal imaging

Emirhan Tosun; Omer Faruk Dinc; Berfin Arli; Serhat Tozburun

doi:10.1117/12.2672244

11 August 2023 A classifier for dynamic thermal imaging

Emirhan Tosun, Omer Faruk Dinc, Berfin Arli, Serhat Tozburun

Proceedings Volume 12627, Translational Biophotonics: Diagnostics and Therapeutics III; 126271H (2023) https://doi.org/10.1117/12.2672244
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

This study presents an artificial intelligence algorithm to classify the heterogeneity and homogeneity of ex vivo mouse liver tumor phantom using dynamic thermal imaging. The algorithm suggests that the phantom’s temperature response to a 1340 nm collimated narrow laser beam results in a thermal pattern that may help separate tumor tissue from healthy tissue. The algorithm can classify homogeneity and heterogeneity with an accuracy of 98.6%.

Citation Download Citation

Emirhan Tosun, Omer Faruk Dinc, Berfin Arli, and Serhat Tozburun "A classifier for dynamic thermal imaging", Proc. SPIE 12627, Translational Biophotonics: Diagnostics and Therapeutics III, 126271H (11 August 2023); https://doi.org/10.1117/12.2672244

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