Melanoma is one of the most common types of skin cancer that afflicts our society. Although melanoma accounts for 1% of the cases of skin cancer, due to its aggressiveness, it is responsible for most skin cancer-related deaths. Each year, approximately 132 000 new cases of melanoma are diagnosed worldwide, according to the World Health Organization, and just in USA an approximate of 7 230 people will die because of it. Early detection can lead to a significant reduction in melanoma death rates.
Nowadays, there are various invasive and non-invasive detection methods of skin cancer. A type of non-invasive method uses an infrared thermal imaging camera, which can detect the difference in thermal behavior between healthy and malignant tissue during the thermal recovery process after a cooling stress applied to the skin. Such a thermal behavior can be simulated computationally, with a good approximation to reported case studies. This study proposes a numerical model that takes advantage of infrared thermal imaging to determine the effect of geometry and depth of the lesion with the cooling and recovery process using Design of Experiments (DoE). The results show that diameter and geometric shape of the lesion are the parameters that most influence the thermal response.