Border detection of skin tumor images is part of a research project whose purpose is to identify key features in skin tumor images using machine vision techniques. The key features present in a skin tumor guide the dermatologist in making the proper diagnosis. A few examples of key features are crust, scale and ulcer.
Tiehes, Mike, "Border Detection of Skin Tumor Images" (1991). Opportunities for Undergraduate Research Experience Program (OURE). 155.