A hybrid deep learning framework based on VGG19 and U-Net for accurate brain tumor segmentation in MRI images.

Overview

1. Department of Computer Engineering, Faculty of Engineering, Dicle University, 21000, Diyarbakır, Turkey
2. Department of Computer Engineering, Faculty of Engineering, Mardin Artuklu University, 47000, Mardin, Turkey
3. Department of Electricity and Energy, Silvan Vocational School, Dicle University, 21000, Diyarbakır, Turkey

Abstract

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Data

Datasets cited

• kaggle.com/datasets/mateuszbuda, at Kaggle; found in the references

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 6 keywords, 48 references.

Cite

This paper

Aslan, E., & Özüpak, Y. (2026). A hybrid deep learning framework based on VGG19 and U-Net for accurate brain tumor segmentation in MRI images. Magnetic resonance letters, 6(4), 200275. https://doi.org/10.1016/j.mrl.2026.200275

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