Department
Electrical and Computer Engineering
Major
Electrical Engineering
Research Advisor
Stanley, R. Joe
Advisor's Department
Electrical and Computer Engineering
Abstract
Melanoma lesions that exhibit irregular linear vessels can be misdiagnosed due to the fact that their clinical appearance can often closely resemble other skin conditions. Detection these irregular linear blood vessels, or telangiectasia could improve the accuracy of melanoma diagnosis. An algorithm that detects telangiectasia has been developed; it initially searches for color drops in an image in various directions and then uses various post processing techniques to improve the accuracy. The feasibility of using classifiers such as neural networks to further improve the accuracy has also been investigated.
Presentation Type
Oral Presentation
Document Type
Presentation
Recommended Citation
Erdos, David, "TELANGIECTASIA DETECTION IN DERMOSCOPY IMAGES" (2007). Opportunities for Undergraduate Research Experience Program (OURE). 187.
https://scholarsmine.mst.edu/oure/187
