Oral Cancer Detection

What is it?

A group of students and I worked on a mobile app which determines if oral cancer is present in an image of a person's mouth. After loggin in, the user can either take a photo using their phone camera, or choose an existing photo from their phone's library. After confirming the photo, a machine learning algorithm is run on the photo to determine if oral cancer is present in the photo or not. The output is a percentage chance that there is oral cancer in the photo. After the percentage chance is shown, the user has an opportunity to fill out a questionnaire and submit it.

How was it created?

Kotlin was used to create the actual app. The back-end was a linux server. This server stored the questionnaire responses in a MySQL database. The machine learning algorithm was created by a UT Dallas lab, which sponsored our semester project.


Coming Soon!