AI RESEARCH
MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis
arXiv CS.AI
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ArXi:2604.15729v1 Announce Type: cross Whole Slide Image (WSI) analysis is pivotal in computational pathology, enabling cancer diagnosis by integrating morphological and architectural cues across magnifications. Multiple Instance Learning (MIL) serves as the standard framework for WSI analysis. Recently, Mamba has become a promising backbone for MIL, overtaking Transformers due to its efficiency and global context modeling capabilities originating from Natural Language Processing