Human Epithelial Type-2 Cell Image Classification Using an Artificial Neural Network with Hybrid Descriptors
Abstract
Antinuclear antibody (ANA) testing is best performed using the indirect immunofluorescence (IIF) method with human epithelial type-2 (HEp-2) cells as the substrate. IIF is a subjective procedure in which HEp-2 patterns are analyzed manually from the microscope. Therefore, ANA test results greatly rely on the experience and expertise of pathologists. Hence, complete automation of the ANA test is required to avoid incorrect diagnoses. This paper...
Paper Details
Title
Human Epithelial Type-2 Cell Image Classification Using an Artificial Neural Network with Hybrid Descriptors
Published Date
Jun 11, 2018
Journal
Volume
66
Issue
1
Pages
30 - 41
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