Redes Neurais Convolucionais para Avaliação de Dor Neonatal em Imagens de Face: Uma Análise Quantitativa e Qualitativa

• Gabriel de Almeida Sá Coutrin FEI
• Carlos Eduardo Thomaz FEI

DOI: https://doi.org/10.5753/sbcas_estendido.2023.229368

Resumo

A experiência da dor pode prejudicar o desenvolvimento de recém-nascidos. A análise da mímica facial é um dos métodos mais validados para a avaliação da dor neonatal. Assim, este trabalho investiga cinco CNNs para a classificação da dor neonatal: VGG-16, ResNet50, SENet50, Inception-V3 e N-CNN. Os resultados indicam a superioridade dos modelos pré-treinados com imagens de face, destacando diferenças relacionadas à informação extraída por cada modelo e a quantidade limitada de imagens de face neonatal disponíveis.

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