Window-width thresholding serves as a common approach for isolating regions of interest from CT scans. In practice, however, it often produces spurious structures and cannot adequately suppress background noise. This paper proposes an adaptive loss formulation that dynamically adjusts target weights to improve segmenta...
Tao Liu, Qing-Hua Su, Xiao-Long Qi et al.· International Conference on...· 0 citations
Experimental results indicate that the proposed network effectively improves noise robustness and irregular lesion boundary reconstruction accuracy, achieving stable and high-precision segmentation across multimodal medical imaging tasks.
Li-Chan Wu, Hui-Ling Wang, Tao Liu et al.· International Conference on...· 0 citations
In scenarios involving multi-source asynchronous data acquisition, point cloud registration is often constrained by limited overlap, geometric information loss due to occlusion, noise, non-uniform sampling, repetitive structures, and discrepancies between sensing sources. This survey focuses on rigid point cloud regist...
Heng-Su-Heng Su, Hui-Ling Wang, Xiao-Long Qi et al.· 2026 3rd International Confe...· 0 citations
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