
The authors introduce MambaMIL to address limitations in long sequence modeling and overfitting, leveraging the Mamba framework. The core component, SR-Mamba, enhances discriminative feature capture within instances.


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mambamil-enhancing-long-sequence-modeling-in-computational-pathology


MambaMIL: Enhancing Long Sequence Modeling in Computational Pathology


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MambaMIL incorporates the Selective Scan Space State Sequential Model (Mamba) for long sequence modeling in Multiple Instance Learning, effectively capturing discriminative features and mitigating overfitting.
