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Open access Sep 2026

DS-UNet: enhancing liver tumor segmentation in CT images via dense state space selection and gating mechanism

Early diagnosis and precise localization of malignant liver tumors are crucial for effective clinical decision-making. However, existing automated liver tumor segmentation methods for CT images still face the following challenges: (1) Traditional U-Net and its variants struggle to achieve accurate tumor localizatio...

Xue-Ying Fan, Wan-Bin Lin, Li-Ming Xu et al. · 0 citations
Open access 2026

Convergent Generative Adversarial Networks for Medical Report Generation With Visual Manifold Graph

Medical report generation aims to reduce the reporting burden of radiologists by translating medical images into clinically meaningful descriptions. Although generative adversarial networks (GANs) have shown potential for image captioning and report generation, their application to radiology reports remains challenging...

Yuan Wang, Shijie Xu, Kun Zhou et al. · 0 citations

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