MambaVesselNet: A Novel Approach to Blood Vessel Segmentation Based on State-Space Models

Three-dimensional blood vessel segmentation is an important and challenging task that faces two main difficulties: (1) blood vessel structures are small, making them hard to capture by the network, and vessel edges are difficult to segment accurately; (2) false positives are prone to occur due to th...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2024-12, p.1-14
Hauptverfasser:	Liu, Tianyong, Zhang, Zhiqing, Fan, Guojia, Li, Bin, Zhou, Shoujun, Xu, Chengwu, Zhao, Gang, Yang, Fuxia
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Biomedical imaging Blood vessels Deep learning edge enhancement Feature extraction Image edge detection Image segmentation Noise state-space models Three-dimensional displays Transformers vessel segmentation
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