An Overview of Infra-Red Image Processing Based Oral Cancer Detection Technique

Abstract

Oral cancer is often detected late, requiring timely and precise identification to enhance patient results and cut medical expenses. This study delves into the effectiveness of Infrared Imaging (IR) in spotting cancer, highlighting its ability to record temperature changes linked to abnormal developments. The study highlights the need for precise diagnostic equipment to address demanding situations when acquiring infrared images from the oral cavity. This system uses thermal imaging to extract and analyze the temperature-based statistical information for predictions. With promising outcomes from a rigorous evaluation of 24 subjects, the device demonstrates a sensitivity of 66.67% and specificity of 66.67%, indicating room for development. The study has looked at the significance of collaborative research and a set of regulations refinement, using SVM classifiers and Fuzzy logic for proper judgment to enhance the system's diagnostic accuracy and effect on healthcare results. The findings emphasize the essential position of IR generation in revolutionizing oral cancer screening structures, highlighting the need for continued research and collaboration to optimize its software.

Received: 8 October 2023 | Revised: 14 November 2023 | Accepted: 18 December 2023

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work

Data Availability Statement

Data sharing does not apply to this article as no new data were created or analyzed in this study.