医学影像AI的可靠性新突破：贝叶斯深度学习如何精准校准置信度与不确定性边界，值得关注。
arXiv:2602.11973v2 Announce Type: replace-cross Abstract: In critical decision support systems based on medical imaging, the reliability of AI-assiste…
提出门控Transformer聚合器，实现医学影像领域无关的多实例学习，突破传统MIL方法局限
arXiv:2606.20027v1 Announce Type: new Abstract: Attention-based Multiple Instance Learning aggregators in medical imaging are prone to attention conce…
新提出的HD-DinoMoE网络通过类感知分层双专家机制，提升复杂采集场景下巩膜异常分割精度，发表在Medical Image Analysis。
arXiv:2606.04888v1 Announce Type: new Abstract: Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral sur…
流形对齐高维数据可视化，解决定义分歧，提升3D右心室应变计算精度
arXiv:2501.12178v2 Announce Type: replace Abstract: Medical imaging studies often rely on a single sample per subject, assuming it is representative o…
神经细胞自动机如何量化预测不确定性？一项结合医学图像分析的新方法，为AI可信度评估提供视角。
arXiv:2605.26726v1 Announce Type: cross Abstract: Neural cellular automata (NCA) provide a lightweight alternative to encoder-decoder segmentation net…
利用元学习实现3D心脏MRI左心房壁的少样本分割，新思路解决数据稀缺难题。
arXiv:2603.24985v3 Announce Type: replace Abstract: Segmenting the left atrial (LA) wall from late gadolinium enhancement magnetic resonance imaging (…
血管分割新方法：利用不确定性引导的保守传播进行结构化推理，提升分割精度与鲁棒性
arXiv:2605.20543v1 Announce Type: new Abstract: Accurate vessel segmentation is essential for medical image analysis, yet remains challenging due to c…
利用时序细胞阶段分割技术，精准预测胚胎移植成功率，为辅助生殖提供AI新方案。
arXiv:2605.18923v1 Announce Type: cross Abstract: Accurate selection of bovine embryos is a challenging task, as current practice relies on a single e…