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SAMTok: Representing Any Mask with Two Words
用两个词就能表达任意分割掩码，SAM最新变体实现高效语义token化表示。
arXiv:2601.16093v2 Announce Type: replace Abstract: Pixel-wise capabilities are essential for building interactive intelligent systems. However, pixel…
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++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
论文提出前缀式数据增强方法扩展nnU-Net，显著提升医学图像分割精度与泛化能力。
arXiv:2606.10713v1 Announce Type: cross Abstract: The nnU-Net has demonstrated continuous success in medical segmentation tasks, which heavily rely on…
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Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
白质高信号与卒中病变分割中，如何用部分标注数据优化训练策略？这篇论文系统性对比了多种方法。
arXiv:2601.20503v2 Announce Type: replace Abstract: White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are key imaging biomarkers …
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Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning
多模态大模型新框架：先候选发现再比较推理，解决复杂查询下的图像分割难题
arXiv:2606.09303v1 Announce Type: new Abstract: The rapid development of pretrained foundation models has enabled more general image segmentation. Mul…
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SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation
医学图像分割新范式，Token级混合专家模型SegMoTE精准应对多模态异质性挑战！
arXiv:2602.19213v2 Announce Type: replace Abstract: Medical image segmentation is vital for clinical diagnosis and quantitative analysis, yet remains …
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XSSR: Cross-Domain Self-Supervised Representative Selection for Efficient Annotation in Medical Image Segmentation
医疗图像分割中，跨域自监督方法智能挑选代表性样本，显著降低人工标注成本。
arXiv:2606.04301v1 Announce Type: new Abstract: Acquiring labeled medical image data is resource-intensive and a challenge further exacerbated in cros…
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ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements
图像分割新突破，白化变换与训练增强提升不确定性建模鲁棒性
arXiv:2606.03069v1 Announce Type: new Abstract: Generalized segmentation of medical images prevents performance degradation when different imaging dev…
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Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark
首个针对剖宫产疤痕缺损的超声图像分割数据集与基准发布，助力精准医疗AI研究
arXiv:2605.26774v1 Announce Type: new Abstract: Cesarean Scar Defect (CSD) is one of the most prevalent complications following cesarean delivery. Tra…
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Label tree semantic losses for rich multi-class medical image segmentation
提出标签树语义损失，利用层次化类别关系提升多类医学图像分割的精度和一致性
arXiv:2507.15777v3 Announce Type: replace Abstract: Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defin…
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Cross-Source Supervision for Bone Infection Segmentation in Dual-Modality PET-CT
双模态PET-CT骨感染分割新方法，跨源监督解决小数据集性能膨胀问题，突破传统二维评估局限
arXiv:2605.16373v1 Announce Type: cross Abstract: Early and accurate diagnosis and lesion localization of bone infections are crucial for clinical tre…
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Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment
医学指代图像分割遇上半监督学习，跨模态对齐降低标注成本，精准融合文本与视觉。
arXiv:2605.15720v1 Announce Type: cross Abstract: Medical referring image segmentation (MRIS) requires pixel-level masks aligned with textual descript…
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U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
系统探索多变量对分割不确定性估计的影响，揭示关键敏感因素，为实际应用提供可靠指导
arXiv:2605.15421v1 Announce Type: new Abstract: In this study, we explore in depth a few under-studied topics at the intersection of uncertainty estim…