A classifier for dynamic thermal imaging

Tosun E., Dinc O. F., Arli B., Tozburun S.

Translational Biophotonics: Diagnostics and Therapeutics III 2023, Munich, Almanya, 25 - 29 Haziran 2023, cilt.12627 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 12627
  • Doi Numarası: 10.1117/12.2672244
  • Basıldığı Şehir: Munich
  • Basıldığı Ülke: Almanya
  • Anahtar Kelimeler: Artificial intelligence., Dynamic thermal imaging, Heterogeneity, Laser, Tissue phantom
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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%.