Classification of HEp-2 IFA cells

• Leandro L. G. Oliveira Universidade Católica de Goiás
• Eduardo S. Albuquerque Universidade Católica de Goiás
• Paulo L.C. Francescantonio Universidade Católica de Goiás

Abstract

This article shows preliminary results of a novel classification model for FAN Hep-2 exams. This work used wavelets transforms to extract features and Euclidian distance metrics to measure similarity between two images. The results obtained are promising. The work defines a standardized reading for FAN Hep2 Exams that can lead to a reduction of interpretation errors and can also be used to standardize FAN Hep-2 exam readings.

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