Inteligência artificial e diagnóstico do glaucoma
DOI:
https://doi.org/10.34115/basrv7n2-017bKeywords:
deep learning, glaucoma, fundoscopiaAbstract
O progresso dos algoritmos de inteligência artificial (IA) no processamento de imagens digitais e nos estudos de diagnóstico automático da doença ocular glaucoma vem crescendo e apresentando avanços essenciais para garantir um melhor atendimento clínico a população. Diante do contexto, este artigo descreve os principais tipos de glaucoma existentes e as formas tradicionais de diagnóstico. Apresenta também a epidemiologia mundial da doença e como os estudos com algoritmos de IA vêm sendo investigados como uma possível ferramenta para auxiliar no diagnóstico precoce desta patologia por meio de triagens populacionais. Portanto, a seção de trabalhos relacionados apresenta os principais estudos e metodologias utilizadas na classificação automática do glaucoma a partir de imagens digitais de fundo de olho e algoritmos de IA, bem como as principais bases de dados contendo imagens rotuladas para o glaucoma e disponíveis publicamente para treinamento dos algoritmos de aprendizado de máquinas.
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