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SAMamba: A Segment Anything Model-Augmented Framework Integrating Mamba for Comprehensive Medical Image Segmentation

Year: 2024

Type: conference-paper

Source: International Academic Exchange Conference on Science and Technology Innovation (IAECST)

DOI: 10.1109/iaecst64597.2024.11117636

Authors: Qingxue Zhao, Di Wu, Jun Tian

Institution: Nankai University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4413394733

FWCI:

Cites: 14

Cited by:

Related to: 10