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...
- 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