Sign In

Communications of the ACM

ACM TechNews

Computer Diagnoses Cataracts as Well as Eye Doctors Can


Identifying congenital cataracts.

Scientists at Sun Yat-Sen University in China are using a new artificial neural network to recognize and diagnose congenital cataracts as accurately as eye doctors.

Credit: aeyaey/Shutterstock.com

Scientists at Sun Yat-Sen University in China are using a new artificial neural network called CC-Cruiser to recognize and diagnose congenital cataracts as accurately as eye doctors.

CC-Cruiser is a convolutional neural network, which was trained on images from the Childhood Cataract Program of the Chinese Ministry of Health. CC-Cruiser was then given unlabeled data from 57 patients, including 43 with normal eyes and 14 with cataracts. The network identified cases of congenital cataracts with 98.25% accuracy, estimated the location of cataracts with 100-percent accuracy, and suggested the proper treatment with 92.86% accuracy.

In a test using 13 images of normal eyes and 40 pictures of cataracts found on the Internet, CC-Cruiser was slightly less successful. Potential cases of congenital cataracts were identified with 92.45% accuracy, location was estimated with 94.87%accuracy, and proper treatment was suggested with 89.74% accuracy; this decline may have been due to the photographs' variations in lighting, angle, and resolution.

In a test comparing CC-Cruiser with ophthalmologists, the network identified all cases with congenital cataracts, while all three eye doctors missed one case.

The Sun Yat-Sen researchers say their technology could be adapted to work on other diseases that rely on diagnoses via medical imaging.

From Live Science
View Full Article

 

Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

No entries found