From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.net/journal/jbise
E-mail: [email protected]

Citations

"From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning"
written by Mushtaq Mahyoob Saleh, Bharat B. Biswal,
published by Journal of Biomedical Science and Engineering, Vol.18 No.8, 2025

has been cited by the following article(s):

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[2]	Enhancing 3D MRI-Based Necrotic Core Segmentation in Glioblastoma Using Activation Functions in Deep Learning Informatics, 2026 DOI:10.3390/informatics13070118

[3]	Intelligent Swin Transformer With DeepLAB v3 Hybrid Network for Brain Tumor Classification 2025 International Conference on Big Data and Data Mining (BDDM), 2025 DOI:10.1109/BDDM68348.2025.11442142