Scoring of swine lung images : a comparison between a computer vision system and human evaluators
Valeris-Chacin, Robert (Texas A&M University. Department of Veterinary Pathobiology)
Garcia-Morante, Beatriz (Unitat mixta d'investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal)
Sibila, Marina (Unitat mixta d'investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal)
Canturri, Albert (University of Minnesota. Department of Veterinary Population Medicine)
Ballarà Rodriguez, Isaac (LABORATORIOS HIPRA)
Bernal Orozco, Ignacio (LABORATORIOS HIPRA)
Jordà Casadevall, Ramon (LABORATORIOS HIPRA)
Muñoz, Pedro (LABORATORIOS HIPRA, S.A)
Pieters, Maria (University of Minnesota. Swine Disease Eradication Center)

Data:	2025
Resum:	Cranioventral pulmonary consolidation (CVPC) is a common lesion observed in the lungs of slaughtered pigs, often associated with Mycoplasma (M. ) hyopneumoniae infection. There is a need to implement simple, fast, and valid CVPC scoring methods. Therefore, this study aimed to compare CVPC scores provided by a computer vision system (CVS; AI DIAGNOS) from lung images obtained at slaughter, with scores assigned by human evaluators. In addition, intra- and inter-evaluator variability were assessed and compared to intra-CVS variability. A total of 1050 dorsal view images of swine lungs were analyzed. Total lung lesion score, lesion score per lung lobe, and percentage of affected lung area were employed as outcomes for the evaluation. The CVS showed moderate accuracy (62-71%) in discriminating between non-lesioned and lesioned lung lobes in all but the diaphragmatic lobes. A low multiclass classification accuracy at the lung lobe level (24-36%) was observed. A moderate to high inter-evaluator variability was noticed depending on the lung lobe, as shown by the intraclass correlation coefficient (ICC: 0. 29-0. 6). The intra-evaluator variability was low and similar among the different outcomes and lung lobes, although the observed ICC slightly differed among evaluators. In contrast, the CVS scoring was identical per lobe per image. The results of this study suggest that the CVS AI DIAGNOS could be used as an alternative to the manual scoring of CVPC during slaughter inspections due to its accuracy in binary classification and its perfect consistency in the scoring.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Artificial intelligence ; Algorithm ; Mycoplasma hyopneumoniae ; Cranioventral pulmonary consolidation ; Lung ; Lesions ; Slaughterhouse ; Pigs
Publicat a:	Veterinary research, Vol. 56 (january 2025) , ISSN 1297-9716

DOI: 10.1186/s13567-024-01432-5
PMID: 39806467

12 p, 1.3 MB

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