Title

Inference Engine for Skin Cancer Diagnosis

Presenter Information

Wenyu Zhou

Department

Electrical and Computer Engineering

Major

Electrical Engineering

Research Advisor

Shrestha, Bijaya
Moss, Randy Hays, 1953-

Advisor's Department

Electrical and Computer Engineering

Second Advisor's Department

Electrical and Computer Engineering

Funding Source

Missouri S&T Opportunities for Undergraduate Research Experiences (OURE) Program

Abstract

Our team is to develop a rule-based inference engine aimed at efficiency enhancement. For the first part of our inference engine, we have already developed a search engine which will let you search any picture limiting by certain conditions, such as age, gender, location, and so on. In the search engine, I finish the list-ctrl part, which will display a thumbnail list at the lift bottom of the program. In this part, I need to read in the search result passed by Vincent , look into the data base to find out the images matching the searching result, and display them as thumbnail list. It is coded in C++ with wxWidgets. Now we are still working on the algorithm part of the inference engine so that we can detect the unknown diagnosis accurately and efficiently.

Biography

Wenyu is a Chinese undergraduate student in Electrical Engineering. He has been in United States for almost four years. However, this is his first year involved in research. After graduation, he plans to attend graduate school.

Research Category

Sciences

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hallway

Presentation Date

10 Apr 2012, 9:00 am - 11:45 am

Comments

Joint project with Vincent Allen and Kathryn Isbell

Third advisor: Stanley, R. Joe, Electrical and Computer Engineering

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Apr 10th, 9:00 AM Apr 10th, 11:45 AM

Inference Engine for Skin Cancer Diagnosis

Upper Atrium/Hallway

Our team is to develop a rule-based inference engine aimed at efficiency enhancement. For the first part of our inference engine, we have already developed a search engine which will let you search any picture limiting by certain conditions, such as age, gender, location, and so on. In the search engine, I finish the list-ctrl part, which will display a thumbnail list at the lift bottom of the program. In this part, I need to read in the search result passed by Vincent , look into the data base to find out the images matching the searching result, and display them as thumbnail list. It is coded in C++ with wxWidgets. Now we are still working on the algorithm part of the inference engine so that we can detect the unknown diagnosis accurately and efficiently.