As a noninvasive, noncontact, and cost-effective functional imaging modality, infrared thermography is being increasingly employed in the diagnosis and evaluation of various diseases, such as breast cancer, skin cancer, inflammation, diabetic situation, and rehabilitation assessment, etc., [14-16]. However, thermography owes its insurmountable shortcomings. For instance, its clinical interpretation would often be tedious, challenging and even error-prone if the thermal signature induced by the abnormal pathological changes is subtle. In order to improve the accuracy of such detection, many efforts have been made to enhance the thermal manifestations of the skin over the diseases, such as active dynamic thermography, cold stress, forced conduction and induced evaporation, stimulated heating, and so on [17-22]. To some extent, all of the former attempts indeed effectively enhanced the thermal signs and thereby improved the sensitivity of thermography. With respect to the thermal detection of skin cancer, it is worthy to mention that through a series of endeavors including numerical simulations, analysis and interpretations of clinical data, Çetingül and Herman have performed a relatively efficient dynamic thermographic system to detect the early abnormalities of melanoma lesions [23,24]. Although this study has offered a feasible strategy for quantitative identification of pigmented lesions with varying melanoma potential, some limitations, for instance the specificity (e.g., ability to target the specific cancer cell) still remain a challenge and bottleneck for its clinical practice.