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

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

Acta Universitatis Sapientiae, Informatica
Volume 14 (2022): Issue 2 (December 2022)
By: Ágnes Győrfi,  Levente Kovács and  László Szilágyi  
Open Access
|Feb 2023

Authors

Ágnes Győrfi

gyorfi.agnes@phd.uni-obuda.hu

Sapientia Hungarian University of Transylvania, Dept. of Electrical Engineering, Târgu Mureş Óbuda University, University Research, Innovation and Service Center, Cluj-Napoca

Levente Kovács

kovacs@uni-obuda.hu

Óbuda University, University Research, Innovation and Service Center, Budapest, Hungary

László Szilágyi

szilagyi.laszlo@uni-obuda.hu

Computational Intelligence Research Group, Sapientia Hungarian University of Transylvania, Dept. of Electrical Engineering, Târgu Mureş Óbuda University, University Research, Innovation and Service Center, Cluj-Napoca
DOI: https://doi.org/10.2478/ausi-2022-0014 | Journal eISSN: 2066-7760
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Language: English
Page range: 223 - 247
Submitted on: Nov 18, 2022
|
Accepted on: Dec 11, 2022
|
Published on: Feb 4, 2023
Published by: Sapientia Hungarian University of Transylvania
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
machine learning,
convolutional neural networks,
U-net architecture,
image segmentation
Related subjects:
Computer sciences,
Computer sciences, other

© 2023 Ágnes Győrfi, Levente Kovács, László Szilágyi, published by Sapientia Hungarian University of Transylvania
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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