2024
DOI: 10.1292/jvms.23-0299
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Application of automated machine learning for histological evaluation of feline endoscopic samples

Tatsuhito II,
James K CHAMBERS,
Ko NAKASHIMA
et al.

Abstract: Differentiating intestinal T-cell lymphoma from chronic enteropathy (CE) in endoscopic samples is often challenging. In the present study, automated machine learning systems were developed to distinguish between the two diseases, predict clonality, and detect prognostic factors of intestinal lymphoma in cats. Four models were created for four experimental conditions: experiment 1 to distinguish between intestinal T-cell lymphoma and CE; experiment 2 to distinguish large cell lymphoma, small cell lymphoma, and … Show more

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