首个欧洲多中心乳腺癌MRI数据集发布，为医学影像AI提供高质量训练与评估基准
arXiv:2506.00474v3 Announce Type: replace-cross Abstract: Early detection of breast cancer is critical for improving patient outcomes. While mammograp…
首个大规模3D脑MRI视觉问答基准，覆盖5大临床领域，推动医学影像AI理解突破。
arXiv:2605.20525v1 Announce Type: cross Abstract: We present NeuroQA, a large-scale benchmark for visual question answering in 3D brain magnetic reson…
脑部MRI自监督学习新框架，利用3D体令牌对齐实现跨数据集通用表征
arXiv:2605.16775v1 Announce Type: cross Abstract: Self-supervised learning (SSL) has advanced medical image analysis be enabling learning form large u…
量化技术让机器学习模型在低资源医疗影像场景下也能高效运行，大幅降低算力门槛，加速基层医疗智能化。
arXiv:2605.19207v1 Announce Type: cross Abstract: Deep learning models have shown strong performance in medical image analysis, but deploying them in …
首个专为脑肿瘤MRI解读打造的VQA数据集，助力医学影像AI研究新基准。
arXiv:2605.17140v1 Announce Type: cross Abstract: Brain tumor diagnosis is largely dependent on Magnetic Resonance Imaging (MRI) evaluation, which req…
结合视觉核心引导与对比学习，攻克多模态中风预后预测的平衡难题。
arXiv:2605.14710v1 Announce Type: cross Abstract: Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis…
4D心脏重建新突破，从稀疏MRI实现个性化高精度建模
arXiv:2605.13994v1 Announce Type: cross Abstract: Accurate 3D+t whole-heart mesh reconstruction from cine MRI is a clinically crucial yet technically …
眼动追踪在3D胰腺影像中揭示视觉搜索模式，探索医学影像分析新方法。
arXiv:2605.16408v1 Announce Type: new Abstract: Eye tracking has emerged as a powerful tool for examining visual perception and search strategies in v…
利用域增量学习解决胸部X光肺炎检测中的域偏移问题，提升模型抗疫韧性。
arXiv:2605.17729v1 Announce Type: cross Abstract: Deep learning models achieved high accuracy in pneumonia detection from chest X-rays. However, their…
提出残差噪声学习方法，解决PET去噪中跨剂量泛化难题，有效缓解平均效应带来的退化。
arXiv:2604.16925v3 Announce Type: replace Abstract: Cross-dose denoising for low-dose positron emission tomography (LDPET) has been proposed to addres…
3D MRI脑肿瘤分割迎来突破：引入模糊感知机制，直面患者运动伪影，提升边界与纹理分割精度。
arXiv:2605.15671v1 Announce Type: cross Abstract: Multimodal 3D MRI brain tumor segmentation is a pivotal step in radiotherapy target delineation, sur…
新数据集与图增强框架，突破3D PET/CT影像的自动报告生成瓶颈。
arXiv:2604.18145v2 Announce Type: replace-cross Abstract: Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the…