English(EN) HD-DinoMoE: A Class-Aware Hierarchical Dual Mixture-of-Experts Network for Scleral Anomaly Segmentation in Complex Acquisition Scenarios

新型HD-DinoMoE网络助力巩膜异常分割

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-03 13:48

研究人员开发了HD-DinoMoE，一种用于眼科检查图像中巩膜异常分割的新型网络。该系统旨在为中医的经验性眼科诊断带来客观性和量化。该网络采用类别感知分层双混合专家方法来处理图像采集、异常类型和镜面反射的变化，在一个新的基准数据集上实现了具有竞争力的分割性能。 AI

影响这项研究为眼科诊断提供了一种更客观、可量化的方法，有望提高巩膜异常检测的准确性和一致性。

排序理由该集群包含一篇详细介绍新模型和特定计算机视觉任务数据集的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Yinxiang Yu, Maoxiang Chu, Qi Niu, Guanghu Liu, Wei Xu, Haotian Wang, Zhi Chen, Yutian Zhu, Yuelong Fan, Guanghao Liao · 2026-06-04 04:00

HD-DinoMoE：一种面向复杂采集场景下巩膜异常分割的类别感知分层双混合专家网络

arXiv:2606.04888v1 Announce Type: new Abstract: Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral surface anomalies, but its clinical use remains subjective and difficult to quantify. To support intelligent and quantifiable ocular …
arXiv cs.CV TIER_1 English(EN) · Guanghao Liao · 2026-06-03 13:48

HD-DinoMoE：一种面向复杂采集场景下巩膜异常分割的类别感知分层双混合专家网络

Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral surface anomalies, but its clinical use remains subjective and difficult to quantify. To support intelligent and quantifiable ocular inspection, this study presents the TCM-inspired…