Feb. 27, 2024, 5:48 a.m. | Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu

cs.CV updates on arXiv.org arxiv.org

arXiv:2401.13560v3 Announce Type: replace
Abstract: The Transformer architecture has shown a remarkable ability in modeling global relationships. However, it poses a significant computational challenge when processing high-dimensional medical images. This hinders its development and widespread adoption in this task. Mamba, as a State Space Model (SSM), recently emerged as a notable manner for long-range dependencies in sequential modeling, excelling in natural language processing filed with its remarkable memory efficiency and computational speed. Inspired by its success, we introduce SegMamba, a …

arxiv cs.cv image mamba medical modeling segmentation type

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