School of Engineering and Computer Science

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).

Android / iOS apps

You can download our white-eye detector app for Android and iOS! It's free. Please give it a try, and let others know about it.

Get it on Google Play Download CRADLE from the App Store

We previously had a web-based version of this software available, but the app version has much better software support. Please use that version.

Submit your photos

If you have photos of leukocoria you'd like to contribute to our research, you can do so at

Research: papers / presentations / abstracts

If you wish to cite our software work, please refer to the current page as

If you wish to cite our research, please refer to the publications and technical reports below.

Federal testimony



Dr. Bryan Shaw on TEDxUtica (November 7, 2014)

Other resources