Automatic leukocoria detection
This page is about our research on automatic detection of leukocoria (white-eye
reflection) using software. Our research is producing algorithms which can
learn from examples to automatically detect when a photo contains a white-eye
reflection that may be an indication of a solid-tumor pediatric cancer called
Retinoblastoma. Here is an example of an eye that appears leukocoric:
Our research involves analyzing images of eyes detected within larger natural
images. As such, we are especially interested in separating true leukocoria
(caused by diseases such as Retinoblastoma) from normal (black and red) pupils,
as well as pseudoleukocoria (caused by some camera flashes, but not indicating
a negative condition).
iPad / iPhone app
You can download our white-eye detector app from the Apple app store! Please give it a try.
- Detection of Leukocoria using a Soft Fusion of Expert Classifiers under Non-clinical Settings. Pablo Rivas-Perea, Erich Baker, Greg Hamerly, and Bryan Shaw. In BMC Opthamology, 2014.
- Finding the Smallest Circle Containing the Iris in the Denoised Wavelet Domain. Pablo Rivas-Perea, Ryan Henning, Bryan Shaw, and Greg Hamerly. In proceedings of SSIAI 2014. Here is the IEEE link.
- A Convolutional Neural Network Approach for Classifying Leukocoria. Ryan Henning, Pablo Rivas-Perea, Bryan Shaw, and Greg Hamerly. In proceedings of SSIAI 2014. See attributions for Flickr data used in our study. Here is the IEEE link.
- Colorimetric and Longitudinal Analysis of Leukocoria in Recreational Photographs of Children with Retinoblastoma.
Alireza Abdolvahabi, Brandon W. Taylor, Rebecca L. Holden, Elizabeth V. Shaw, Alex Kentsis, Carlos Rodriguez-Galindo, Shizuo Mukai, and Bryan F. Shaw. PLOS One, October 30 2013.
Leukocoria detection software
We have a leukocoria detector available at this page.
- Dr. Greg Hamerly, associate professor in computer science, Baylor University
- Dr. Erich Baker, associate professor in bioinformatics, Baylor University
- Dr. Bryan Shaw, assistant professor in chemistry, Baylor University
- Dr. Pablo Rivas Perea, postdoctoral researcher in computer science, Baylor University
- Ryan Henning, graduate student in computer science, Baylor University
- Li Guo, graduate student in computer science, Baylor University