Department of Computer Science at UH

University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Doctor of Philosophy

Tarun Wadhawan

Will give a preliminary defense of his dissertation

Melanoma Detection using Embedded Handheld Devices


More than 1 million skin cancers are detected in U.S. each year, of which melanoma is the deadliest causing an estimated 8,110 deaths each year. Melanoma is a malignant tumor of melanocytes which are found predominantly in the skin but also in bowel, and in eye. It is one of the rarer types of skin cancer but it causes the majority of skin cancer-related deaths. However, if detected at an early stage, skin cancer has a very high cure rate, and it requires rather simple and economical treatment.

Recent developments in the research include development of imaging devices for automatic melanoma detection such as SolarScan and MelaFind to help increase accuracy of practitioners. But these devices lack portability because of their size and can only be used inside hospital environment. The objective of this research is to develop portable embedded handheld imaging devices that can work outside the hospital environment. These devices should be automated and augment the health care system by increasing efficiency and accuracy of practitioners using pattern recognition techniques.

Date: Thursday, May 6, 2010
Time: 9:00 AM
Place: 218-PGH
Faculty, students, and the general public are invited.
Advisor: Prof. Yuriy Fofanov