Abstract
A low‐cost, automated microscope is combined with machine learning to bring veterinary parasite diagnosis to the point of need. The authors present an inexpensive robotic microscope that automatically focuses, scans, and images a large area McMaster chamber. A deep learning image segmentation pipeline identifies and counts eggs of parasitic worms and single‐celled parasites in goats, dogs, and monkeys, yielding >96% diagnostic accuracy without the need for a trained user.Further details can be found in the article by Yaning Li, Rui Zheng, Yizhen Wu, et al. (e201800410). image
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have