English(EN) LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

新的LUTSeg数据集和TiSage框架推动溃疡组织分割进展

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 04:00

研究人员推出了LUTSeg，这是一个新推出的、用于分割溃疡组织（这对于监测慢性伤口进展至关重要）的纵向数据集。该数据集包含来自39名患者的141张图像，并由五名临床专家提供了五个组织类别的标注。为了对LUTSeg进行基准测试，还提出了一个名为TiSage的半监督框架，该框架整合了来自医学视觉语言模型的多尺度语义先验。在LUTSeg和DFUTissue数据集上进行评估时，TiSage在低标签场景下展示了优于现有基线方法的改进。 AI

影响该数据集和框架有望提高慢性伤口监测和治疗规划的准确性和效率。

排序理由该集群描述了一个新的学术数据集和一个针对特定计算机视觉任务提出的框架，发布在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Karen Sanchez, Carlos Hinojosa, Albert A. \'Avila, Andrea C. Riano-Rojas, Diego H. Romero, Jenny C. P\'aez, Martina Llin\'as, Bernard Ghanem · 2026-08-27 04:00

LUTSeg：溃疡组织分割的纵向多专家数据集

arXiv:2608.25866v1 Announce Type: new Abstract: Quantifying wound tissue composition is essential for monitoring chronic ulcer progression and guiding treatment decisions. However, pixel-level annotations are costly, and multi-tissue wound datasets remain scarce, particularly for…

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LUTSeg：溃疡组织分割的纵向多专家数据集

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