1 results match your criteria: "Department of Computer ScienceUniversity of Brasilia Brasília 70910-900 Brazil.[Affiliation]"

Podocyte degenerative changes are common in various kidney diseases, and their accurate identification is crucial for pathologists to diagnose and treat such conditions. However, this can be a difficult task, and previous attempts to automate the identification of podocytes have not been entirely successful. To address this issue, this study proposes a novel approach that combines pathologists' expertise with an automated classifier to enhance the identification of podocytopathies.

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