Advancements in Breast Imaging: CNN-based Thermogram Quality Enhancement

Breast thermography is a medical imaging technique that is free from radiation and is non-invasive which apprehends variations in temperature on the breast surface. The significant information, like early detection of potential abnormalities for breast health assessments, are provided. This study proposes an innovative approach to enhance the visual quality of breast thermograms utilizing a specialized Convolutional Neural Networks. The proposed methodology involves a tailored image enhancement model that is CNN-based to ascend the resolution, contrast, and overall quality of breast thermogram images. This research not only advances the state-of-the-art in breast thermogram image processing but also holds promise for enhancing the diagnostic capabilities of thermography in early breast cancer detection. The proposed CNN-based framework demonstrates its potential as a valuable tool in the realm of medical image analysis, contributing to improved clinical decision-making and patient outcomes in breast health assessments.