AI RESEARCH
MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation
arXiv CS.CV
•
ArXi:2605.16464v1 Announce Type: new Brain tumors exhibit high heterogeneity in morphology and multimodal contrast, making manual slice-by-slice de lineation time-consuming and experience-dependent, thus necessitating efficient and stable automated segmentation methods. To address the limitations of CNNs in modeling long-range dependencies, and the heavy computational and memory overhead and inter-block contextual in coherence of Transformers in 3D MRI, this paper proposes Multi-Head Mamba (MHMamba.