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dc.contributor.authorJiaen, Guo
dc.date.accessioned2025-04-16T09:00:09Z
dc.date.available2025-04-16T09:00:09Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/10832/4301
dc.description.abstractMedical imaging procedures are difficult to analyze even for experienced specialists, partly due to the structures that are difficult to detect with the naked eye, and partly due to a large number of not very specific, very similar details. In human medicine, artificial intelligence (AI) has been used in thorax radiographs in multiple conditions, although AI used in veterinary radiology sprang up a little later than in human medicine, it still has fast development in different aspects, pulmonary detection is one of the common cases.en_US
dc.language.isoenen_US
dc.titleComparison of artificial intelligence to the veterinary clinician’s diagnosis of thoracic nodulesen_US
dc.typeThesisen_US


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