Dual U-Net-Based Conditional Generative Adversarial Network for Blood Vessel Segmentation with Reduced Cerebral MR Training Volumes

Segmenting vessels in brain images is a critical step for many medical interventions and diagnoses of illnesses. Recent advances in artificial intelligence provide better models, achieving a human-like level of expertise in many tasks. In this paper, we present a new approach to segment Time-of-Flig...

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Detalles Bibliográficos
Autores principales: Quintana-Quintana, Oliver J., De León-Cuevas, Alejandro, González-Gutiérrez, Arturo, Gorrostieta-Hurtado, Efrén, Tovar-Arriaga, Saúl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229670/
https://www.ncbi.nlm.nih.gov/pubmed/35744437
http://dx.doi.org/10.3390/mi13060823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229670/
https://www.ncbi.nlm.nih.gov/pubmed/35744437
http://dx.doi.org/10.3390/mi13060823

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