10 www.pigchamp.com Spring 2025 Supplying Specialty Ingredients for Swine Nutrition KOLIN PLUSTM Greener Alternative to CHOLINE CHLORIDE We are your trusted partner for Kolin Plus FC, enzymes, yeast products, and macro-minerals! To learn more, visit https://www.barentz-na.com/us/animal-nutrition Always a better solution. berger et al., 2015). Since then, automated methods for the detection of diseased tissue have continued to develop, including state-of-the-art models for the segmentation of 3D images. These models utilize information from all three dimensions simultaneously, which greatly improves the accuracy of segmentation, particularly for adjacent tissue types. In an ongoing Norwegian research project, researchers from Topigs Norsvin, in collaboration with Associate Professor Kristin Olstad (Norwegian University of Life Sciences), are refining these models to segment lesions in the joints. The first aim of this project is to build segmentation models to detect osteochondrosis in specific regions, including the shoulder, elbow, stifle, and hock. The overall objective of this project is to combine these models with the current methods for joint detection to, ultimately, replace visual evaluation/manual scoring of osteochondrosis from CT images with a fully automated detection and scoring pipeline. Once developed, this pipeline can be extended to detect and score osteochondrosis at even more locations within the body. Topigs Norsvin’s CT Database Topigs Norsvin maintains a database of CT image data collected on approximately 75,000 total animals. This database continues to grow at the rate of 10,000 additional animals per year. This dataset is an extremely valuable reference population, used to develop/test new artificial intelligence models, novel traits, and, therefore, potential new selection targets. Developing models to automatically detect and score osteochondrosis from CT images is a great example of how AI can be used in a modern breeding program to improve health, sustainability, and profitability in pig production. Øyvind Nordbø Øyvind Nordbø leads the Precision Phenotyping Research Platform for Topigs Norsvin. He has been working as a researcher with the company for the past 12 years, optimizing the use of genotype data in breeding programs and developing automated phenotyping based on data from various types of sensors, like CT, cameras, and electronic feeder stations. He holds a PhD in Biological Physics from the Norwegian University of Life Sciences.
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