Controlled Synthesis of Dermoscopic Images via a New Color Labeled Generative Style Transfer Network to Enhance Melanoma Segmentation.

Dermoscopic imaging is an established technique to detect, track, and diagnose malignant melanoma, and one of the ways to improve this technique is via computer-aided image segmentation. Image segmentation is an important step towards building computerized detection and classification systems by delineating the area of interest, in our case, the skin lesion, from the background. However, current segmentation techniques are hard pressed to account for color artifacts within dermoscopic images that are often incorrectly detected as part of the lesion.