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Classificação e localização de doenças oculares usando CNN

Classificação e localização de doenças oculares usando CNN

ANUPREETA BIDARKOTE / Somnath Thigale / Tukaram Chavan

54,06 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Empresa y gestión
ISBN:
9786208081003
54,06 €
IVA incluido
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Sobre IBD

As causas mais comuns de perda de visão nas pessoas em todo o mundo são a catarata, o glaucoma e as doenças da retina. O aumento da prevalência destas doenças exige um diagnóstico imediato e exato. A abordagem sugerida foi criada e concebida para simplificar o diagnóstico de doenças da retina, glaucoma, cataratas e muitas outras. As redes neurais artificiais e as redes neurais convolucionais são utilizadas para classificar e localizar problemas oculares. A abordagem sugerida reduzirá a quantidade de cegueira provocada, permitindo que os pacientes recebam os cuidados necessários para as doenças mencionadas numa fase precoce. O método escolhido também avalia a eficácia e a segurança da cirurgia de catarata em olhos com degeneração macular relacionada com a idade, para além de identificar glaucoma e doenças da retina. Este estudo utiliza fotografias do fundo do olho de olhos saudáveis, bem como de olhos com glaucoma, cataratas e retina, para mostrar a precisão dos algoritmos. Atualmente, o conceito de categorização de fotografias com base no fundo do olho e na extração de caraterísticas é bem reconhecido e também desempenha um papel crucial na conclusão.

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