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A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data Cover

A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data

Acta Universitatis Sapientiae, Informatica
Volume 14 (2022): Issue 2 (December 2022)
By: Ioan-Marius Pisak-Lukáts,  Levente Kovács and  Szilágyi László  
Open Access
|Feb 2023

Authors

Ioan-Marius Pisak-Lukáts

pisak.lukats@ms.sapientia.ro

Sapientia Hungarian University of Transylvania, Óbuda University, Doctoral School of Applied Mathematics and Applied Informatics, Budapest

Levente Kovács

kovacs@uni-obuda.hu

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

Szilágyi László

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-2022-0018 | Journal eISSN: 2066-7760
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Language: English
Page range: 316 - 337
Submitted on: Dec 31, 2022
|
Accepted on: Jan 18, 2023
|
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,
feature selection,
Markov clustering,
image segmentation
Related subjects:
Computer sciences,
Computer sciences, other

© 2023 Ioan-Marius Pisak-Lukáts, Levente Kovács, Szilágyi László, 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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