DSIT UNet a dual stream iterative transformer based UNet architecture for segmenting brain tumors from FLAIR MRI images

Abstract Brain tumor segmentation remains challenging in medical imaging with conventional therapies and rehabilitation owing to the complex morphology and heterogeneous nature of tumors. Although convolutional neural networks (CNNs) have advanced medical image segmentation, they struggle with long-...

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Автори:	Shakib Al Hasan, S. M. Mahim, Md Emamul Hossen, Md Olid Hasan, Md Khairul Islam, Patrizia Livreri, Salah Uddin Khan, Mohammad Alibakhshikenari, Md Sipon Miah
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2025-04-01
Серія:	Scientific Reports
Предмети:	Brain tumor Deep learning Segmentation CNN Dual-stream DSIT-UNet
Онлайн доступ:	https://doi.org/10.1038/s41598-025-98464-4
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