首页|Researchers from University of Naples Federico II Publish New Studies and Findin gs in the Area of Artificial Intelligence (Automating parasite egg detection: in sights from the first AI-KFM challenge)
Researchers from University of Naples Federico II Publish New Studies and Findin gs in the Area of Artificial Intelligence (Automating parasite egg detection: in sights from the first AI-KFM challenge)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting out of Naples, Italy , by NewsRx editors, research stated, “In the field of veterinary medicine, the detection of parasite eggs in the fecal samples of livestock animals represents one of the most challenging tasks, since their spread and diffusion may lead to severe clinical disease.” The news journalists obtained a quote from the research from University of Naple s Federico II: “Nowadays, the scanning procedure is typically performed by physi cians with professional microscopes and requires a significant amount of time, d omain knowledge, and resources. The Kubic FLOTAC Microscope (KFM) is a compact, low-cost, portable digital microscope that can autonomously analyze fecal specim ens for parasites and hosts in both field and laboratory settings. It has been s hown to acquire images that are comparable to those obtained with traditional op tical microscopes, and it can complete the scanning and imaging process in just a few minutes, freeing up the operator’s time for other tasks. To promote resear ch in this area, the first AI-KFM challenge was organized, which focused on the detection of gastrointestinal nematodes (GINs) in cattle using RGB images. The c hallenge aimed to provide a standardized experimental protocol with a large numb er of samples collected in a well-known environment and a set of scores for the approaches submitted by the competitors.”
University of Naples Federico IINaplesItalyEuropeArtificial IntelligenceMachine Learning