A Study on Acne Visualization and Prediction of Therapeutic Drug Effectiveness Using Wood's Lamp and Deep Learning

A method to realize self-medication consumer electronics for the treatment of acne is proposed. Acne is visualized using a magnifying lens equipped with a special ultraviolet light called a Wood's lamp. This enables clear visualization of skin conditions that may not be visible to the naked eye, and many images are captured before and after the application of acne medication. Images before and after treatment are paired by aligning four pimples using mouse points. The pre- and post-treatment images are then subjected to deep learning using the pix2pix model. This process generates post-treatment images based on the pre-treatment images. Observing the condition of the acne and visualizing the post-treatment results can enhance motivation for treatment.