Deep learning applied to cell recognition in Pap Smear tests

• Henrique Castro e Silva PUC-MG
• Leonardo Caetano Gomide PUC-MG
• Alexei Manso Correa Machado PUC-MG / UFMG

DOI: https://doi.org/10.5753/ercas.2024.238704

Abstract

This paper addresses the problem of cervix cancer detection using deep-learning methods on cells extracted from pap-smear tests. We present a methodology for cell classification, along with an evaluation of the effectiveness of different convolutional models in this classification task.

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