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

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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Bibliographic Details
Main Authors: Oliver J. Quintana-Quintana, Alejandro De León-Cuevas, Arturo González-Gutiérrez, Efrén Gorrostieta-Hurtado, Saúl Tovar-Arriaga
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Micromachines
Subjects:
brain blood vessels segmentation
conditional generative adversarial network
MRI segmentation
residual U-Net
time-of-flight magnetic resonance angiography
Online Access:https://www.mdpi.com/2072-666X/13/6/823

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https://www.mdpi.com/2072-666X/13/6/823

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