EventsThe 6th International Electronic Conference on Applied Sciences
Event submissions
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarEugenio Vocaturo
Citation
Shoffan Saifullah, Rafał Dreżewski, Bayesian Optimization-Driven U-Net Architecture Tuning for Brain Tumor Segmentation, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Bayesian Optimization-Driven U-Net Architecture Tuning for Brain Tumor Segmentation

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Shoffan Saifullah 1,2
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Rafał Dreżewski 1
1. Faculty of Computer Science, AGH University of Krakow, Krakow, Poland
2. Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta, Indonesia
Abstract
Keywords
Bayesian Optimization
U-Net Architecture
Brain Tumor Segmentation
Medical Image Analysis
MRI