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TransUNetB: An advanced Transformer–UNet framework for efficient and explainable brain tumor segmentation

This study presents TransUNetB, a hybrid architecture that combines Transformer and UNet for multi-class brain tumor segmentation. This model integrates global context modeling with precise spatial localization. A lightweight Transformer encoder at the bottleneck captures long-range dependencies, wh...

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Principais autores: Katura Gania Khushubu, Abdullah Al Masum, Md Habibur Rahman, Shakh Md Shakib Hasan, Md Imranul Hoque Bhuiyan, Mohammad Rasel Mahmud, S.M. Masfequier Rahman Swapno, Abhishek Appaji
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Assuntos:
Healthcare
Tumor segmentation
Deep learning
Transformer
UNet
Medical imaging
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2352914825000954
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