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%.

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