AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols

Abstract Accurate segmentation of brain tumors from multimodal Magnetic Resonance Imaging (MRI) plays a critical role in diagnosis, treatment planning, and disease monitoring in neuro-oncology. Traditional methods of tumor segmentation, often manual and labour-intensive, are prone to inconsistencies...

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Autores principales:	Umesh Kumar Lilhore, R. Sunder, Sarita Simaiya, Majed Alsafyani, M. D. Monish Khan, Roobaea Alroobaea, Hamed Alsufyani, Abdullah M. Baqasah
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-07-01
Colección:	Scientific Reports
Materias:	Brain tumor segmentation Medical image analysis 3D CNN Uncertainty Estimation Attention-guided model
Acceso en línea:	https://doi.org/10.1038/s41598-025-09351-x
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