## 8 Conclusions and Future Work
Moreover, it is necessary to assess any potential risks or complications associated with the proposed image acquisition procedures, particularly in the context of different breast profiles and implants. In addition, conducting comparative analyses between different breast profiles or implant types is needed to evaluate any variations in the effectiveness or challenges associated with the proposed image acquisition procedures and their long-term outcomes and reliability. Finally, future works should encourage collaboration between medical experts and professionals, and researchers from various disciplines to ensure a comprehensive evaluation of the proposed image acquisition procedure and breast cancer detection methods to address the specific considerations related to breast profiles and implants. By considering these aspects, future studies can contribute to the development and refinement of techniques that are effective, safe, and applicable across a wide range of breast profiles, including women with breast implants. Studying the individual variability in breast characteristics when evaluating the effectiveness of diagnostic methods is needed as there are some limitations to this study, such as working on a larger sample size that includes breast implants and studying the potential bias associated with the specific simulation tools used in the study. In addition, they may indicate the need for future research to evaluate the effectiveness of the proposed method in a larger, more diverse sample for the generalizability of findings. Finally, by collaborating between multiple centers in different geographical locations while recruiting participants with diverse breast characteristics, it is possible to assess more accurately the effectiveness of the proposed methods. In conclusion, while initial studies may have limitations in terms of sample size, breast implants, deformities, or specific patient profiles, acknowledging the need for future research involving larger and more diverse populations is important. In future work, it is important to conduct studies or clinical trials to assess the level and duration of discomfort experienced by patients during and after the application of situ-cooling. This data can also help identify any patterns or variations in discomfort levels due to chemical reactions (if any as the chemical gel is sealed in a rubber pad providing no direct contact to the breast skin) from the breast skin and inform strategies to minimize or manage patient discomfort effectively. However, developing comprehensive safety protocols is essential when using situ-cooling on the human breast's surface, and these protocols should include guidelines for patient selection, proper application techniques, and monitoring during and post-procedure. Situ-cooling has a uniform impact on breast surface temperature across different tumor depths. The temperature reduction observed in tumor regions suggests that cooling may enhance the differentiation between healthy and tumor areas based on temperature patterns. Additionally, cooling can help minimize the masking effect caused by elevated surface temperatures near tumor regions, potentially improving the accuracy of tumor localization. The data obtained provides insights into the temperature variations associated with various tumor characteristics. Thermographic analysis has emerged as a promising technique to help diagnose early breast cancer detection. By measuring temperature differences between tumor regions and surrounding healthy tissue, it is possible to identify potential abnormalities indicative of breast cancer. Furthermore, the combination of thermal imaging, situ-cooling, and deep learning can potentially lead to a straightforward and non-invasive procedure for early-stage breast cancer detection, irrespective of breast characteristics. All authors have contributed equally to the article. All authors have read and agreed to the published version of the manuscript.