Description

In this webinar, we will explore the relationship between Heat Diffusion, Medical Thermography, Machine Learning (ML), and Artificial Intelligence (AI) as tools for detecting malignant dermal and subcutaneous tumors in dogs. We will begin with a theoretical background of heat diffusion, presenting key principles of heat transfer in biological tissues. Then, we will discuss the application of thermography in modern medicine, emphasizing its role as a non-invasive screening tool for detecting abnormalities within the body.

Our innovative technology will be showcased, which uses a heat source to induce controlled thermal changes in tissues. Advanced optic and thermal camera technology is employed to record the thermophysical activity of the tissue during the heating and cooling phases. Delegates will gain insight into the device's architecture and operation, providing a foundation for understanding the ML and AI methods used.

As the webinar progresses, Machine Learning and Artificial Intelligence will take center stage. We will delve into their critical roles in analyzing the data collected by the device. Delegates will be guided through data collection and preprocessing phases, essential steps to ensure the quality and relevance of the thermal data. Furthermore, the process of feature extraction and classification will be demonstrated, explaining how ML algorithms detect subtle patterns indicative of malignant or benign tumors within the thermal imagery.

By exploring each step of the process, from heat diffusion theory to AI-driven tumor classification, this webinar will provide delegates with a comprehensive understanding of the association between thermal imaging, machine learning, and medical screening. Delegates will acquire the knowledge and tools to better understand thermography and Heat Diffusion Imaging in modern medicine, paving the way for enhanced diagnostic accuracy and improved patient outcomes.

Learning Objectives

  • Understand the Principles of Heat Diffusion
  • Explore the Application of Medical Thermography
  • Learn about Innovative Thermography Technology
  • Analyze Data Collection and Preprocessing Techniques
  • Understand Machine Learning and AI in Tumor Detection

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