A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records

A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records

The automated segmentation of brain tissues and lesions represents a widely investigated research topic. The Brain Tumor Segmentation Challenges (BraTS) organized yearly since 2012 provided standard training and testing data and a unified evaluation framework to the research community, which provoke...

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Bibliographic Details
Main Authors: Győrfi Ágnes, Kovács Levente, Szilágyi László
Format: Article
Language:English
Published: Sciendo 2022-12-01
Series:Acta Universitatis Sapientiae: Informatica
Subjects:
machine learning
convolutional neural networks
u-net architecture
image segmentation
68h10
Online Access:https://doi.org/10.2478/ausi-2022-0014

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