Search Results for author: Paolo Brito Pascoalini Zanoni

Found 1 papers, 0 papers with code

A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification

no code implementations11 Mar 2024 Gabriel Toshio Hirokawa Higa, Joyce Katiuccia Medeiros Ramos Carvalho, Paolo Brito Pascoalini Zanoni, Gisele Braziliano de Andrade, Hemerson Pistori

For this evaluation, the problem was modeled in two different ways: first, as a three-class classification problem (mild or open, moderate, and severe); second, as a binary classification problem, with severe stenosis as target.

Binary Classification Classification

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