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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Brain tumor
Deep learning
Segmentation
CNN
Dual-stream
DSIT-UNet
Online Access:https://doi.org/10.1038/s41598-025-98464-4
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