Applications of Neural Networks for Classifying Images of Deaf Horses.

Rattehalli N, Jain I. Applications of Neural Networks for Classifying Images of Deaf Horses. ICIEI '20: Proceedings of the 5th International Conference on Information and Education Innovations. 2020; Pages 122-125. https://doi.org/10.1145/3411681.3411694

Summary: This study explores the use of convolutional neural networks (CNN) to classify horses carrying the SW-5 gene, which is associated with deafness and specific physical traits like extensive facial white markings and blue eyes. The method provides an alternative to traditional genomic testing, converting the diagnosis into an image classification task based on physical characteristics. The proposed classifier achieved a 97.49% accuracy in identifying SW-5 horses, offering a quick and reliable approach for diagnosing equine deafness related to this gene mutation.