Abstract
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.
Document Type
Report
Presentation Date
April 1991
Recommended Citation
Tiehes, Mike, "Border Detection of Skin Tumor Images" (1991). Opportunities for Undergraduate Research Experience Program (OURE). 155.
https://scholarsmine.mst.edu/oure/155
