An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing

Innovation is currently driving enhanced performance and productivity across various fields through process automation. However, identifying intricate details in images can often pose challenges due to morphological variations or specific conditions. Here, artificial intelligence (AI) plays a crucia...

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Autores:
Ayala Mantilla, Cristian Eduardo
Villarreal, Reynaldo
Chamorro-Solano, Sindy
Cantillo, Steffen
Pestana-Nobles, Roberto
Arquez, Sair
Vega-Sampayo, Yolanda
Pacheco-Londoño, Leonardo
Paez, Jheifer
Galan-Freyle, Nataly
Amar, Paola
Tipo de recurso:
Fecha de publicación:
2025
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/16593
Acceso en línea:
https://hdl.handle.net/20.500.12442/16593
https://doi.org/10.1038/s41598-024-81680-9
https://www.nature.com/articles/s41598-024-81680-9#citeas
Palabra clave:
Artificial intelligence
Image segmentation
Convolutional neural network
Pixel
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International