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Selective State Space Models in Medical Imaging: A Systematic Review of Mamba-Based Architectures and Clinical Applications

2026-06-25

Abstract excerpt

<title>Abstract</title> <p>Although Vision Transformer (ViT) architectures have resolved the global-context problem in medical image analysis, their quadratic computational complexity (O(N^2 )) creates hardware bottlenecks for high-resolution and 3D volumetric data. Mamba and Selective State-Space Models (Selective SSMs) provide an innovative solution to this problem by processing sequential data with linear comp...

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Literature Corpus work: d43c39af-2aea-5b09-a7d8-8bf644d8f8ae
DOI: 10.21203/rs.3.rs-10139725/v1

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