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SOFAN-UNet: A Short Optimization Approach for Attention Networks in U-Net Using Particle Swarm Strategy for Precise Brain Tumor Segmentation Cover

SOFAN-UNet: A Short Optimization Approach for Attention Networks in U-Net Using Particle Swarm Strategy for Precise Brain Tumor Segmentation

Journal of Artificial Intelligence and Soft Computing Research
Volume 17 (2027): Issue 1 (January 2027)
By: ,  ,  ,   and    
Open Access
|Jul 2026
Authors

Authors

Shoffan Saifullah

saifulla@agh.edu.pl

Faculty of Computer Science, AGH University of Krakow, Krakow, Poland
Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta, Indonesia

Rafał Drezewski

Faculty of Computer Science, AGH University of Krakow, Krakow, Poland

Anton Yudhana

Department of Electrical Engineering, Universitas Ahmad Dahlan, Jl. Pramuka No.5F, Pandeyan, Umbulharjo, Yogyakarta, Indonesia

Wahyu Caesarendra

Faculty of Engineering Technology and Science, Higher Colleges of Technology, Seih Al Araibi, United Arab Emirates
Department of Electrical Automation Engineering, Faculty of Vocation, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Enny Itje Sela

Department of Information Technology, Universitas Teknologi Yogyakarta, Jl. Siliwangi (Ringroad Utara), Jombor, Yogyakarta, Indonesia
DOI: https://doi.org/10.2478/jaiscr-2026-0025
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Language: English
Page range: 85 - 129
Submitted on: Oct 12, 2025
Accepted on: May 11, 2026
Published on: Jul 1, 2026
Published by: SAN University
In partnership with: Paradigm Publishing Services
Keywords:
brain tumor segmentation,
u-net,
attention mechanism,
particle swarm optimization,
deep learning
Related subjects:
Computer sciences,
Artificial intelligence,
Computer sciences,
Databases and data mining

© 2026 Shoffan Saifullah, Rafał Drezewski, Anton Yudhana, Wahyu Caesarendra, Enny Itje Sela, published by SAN University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 17 (2027): Issue 1 (January 2027)
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