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BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
[article]
2021
arXiv
pre-print
Blood vessel segmentation is crucial for many diagnostic and research applications. In recent years, CNN-based models have leaded to breakthroughs in the task of segmentation, however, such methods usually lose high-frequency information like object boundaries and subtle structures, which are vital to vessel segmentation. To tackle this issue, we propose Boundary Enhancement and Feature Denoising (BEFD) module to facilitate the network ability of extracting boundary information in semantic
arXiv:2104.03768v1
fatcat:vbphzuxw4fd2fmravmv4xc5guy