Research Update CHF 03045-A EY2: Artificial Intelligence and Machine Learning for Diagnosis of Dog Sperm Morphology

Collection of all semen samples required for the study has been completed. Samples from 62 dogs presented to the veterinary hospital at The Ohio State University have been obtained and preserved. At the University of Pennsylvania, slides were prepared, and images acquired using phase-contrast under 1000X magnification. A bank with over 11K images has been created. After, the images were cropped using an algorithm developed for phase-contrast sperm images. Three specialists are currently classifying the images and building an annotated database. Ultimately, the database will be used to train a sperm morphology evaluation algorithm.