Eff-SAM: SAM-Based Efficient Method for Brain Tumor Segmentation in Multimodal 3D MRI Scans

Accurate brain tumor segmentation in MRI scans is crucial for effective diagnosis and treatment planning, as even minor segmentation errors can lead to significant clinical concerns. However, this task is challenged by the complex anatomy of the brain, variable tumor shapes, and low contrast between...

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Détails bibliographiques

Auteurs principaux:	Nisar Ahmad, Yao-Tien Chen
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Attention mechanism brain tumor segmentation deep learning multimodal MRI parameter efficient fine tuning (PEFT) segment anything model (SAM)
Accès en ligne:	https://ieeexplore.ieee.org/document/11006993/
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