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cs.CV2026
LHMCF-Net: A Learned Hyperbolic Mean Curvature Flow Network for Medical Images Segmentation
Shuangshuang Duan, Chunlei He, Shoujun Huang +1
Motivated by the classical Chan-Vese model and the ability of deep priors to capture complex spatial structures, we develop a segmentation model that leverages learned hyperbolic m…
cs.CV2025
Information Entropy-Based Framework for Quantifying Tortuosity in Meibomian Gland Uneven Atrophy
Kesheng Wang, Xiaoyu Chen, Chunlei He +5
In the medical image analysis field, precise quantification of curve tortuosity plays a critical role in the auxiliary diagnosis and pathological assessment of various diseases. In…
cs.CV2025
Active Contour Models Driven by Hyperbolic Mean Curvature Flow for Image Segmentation
Saiyu Hu, Chunlei He, Jianfeng Zhang +2
Parabolic mean curvature flow-driven active contour models (PMCF-ACMs) are widely used for image segmentation, yet they suffer severe degradation under high-intensity noise because…