Author

Xin Li

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Sep 2026

Generalized post-training quantization for medical image segmentation foundation model.

Medical image segmentation foundation models (MedFMs) perform strongly across diverse imaging modalities, but their large size and computational demands hinder deployment in resource-limited clinical settings. Lightweight fine-tuning is impractical given the high training cost of MedFMs, and the efficiency benefits of...

Peng Huang, Ao-Zhong Zhang, Peng-Hang Yin et al. · Medical Image Analysis · 0 citations

Jul 2026

ARetinex-Net: Low-light image enhancement with adaptive retinex model and global illumination representation.

An Adaptive Retinex Model (ARM) is proposed that decomposes an input image into structural (reflectance) and illumination components without relying on handcrafted priors or regularization terms and consistently outperforms state-of-the-art LLIE methods in terms of quantitative metrics and visual quality.

Yunlong Liu, Weisheng Dong, Yufan Zhu et al. · Neural Networks · 0 citations