Enhanced performance in automated diabetic retinopathy diagnosis achieved through Voronoi diagrams and artificial intelligence

Abstract Diabetic retinopathy (DR), a serious eye condition in diabetic patients, requires early and precise detection for effective treatment. Late diagnosis and poor blood sugar control exacerbate this condition, highlighting the need for improved diagnostic methods. We developed a novel algorithm...

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Principais autores:	Mac Gayver da Silva Castro, Francisco Vagnaldo Fechine Jamacaru, Manoel Odorico de Moraes Filho, Paulo Roberto Leitão de Vasconcelos, Conceição Aparecida Dornelas
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-10-01
Series:	Scientific Reports
Assuntos:	Diabetic retinopathy Automated diagnosis Artificial Intelligence Voronoi diagrams
Acceso en liña:	https://doi.org/10.1038/s41598-025-87886-9
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