扩散模型新进展，针对眼底彩色图像提出序数建模，MICCAI 2026收录，医学影像生成必读。
arXiv:2602.24013v2 Announce Type: replace Abstract: Generative image models such as diffusion models can improve performance on clinically relevant ta…
用Flow Matching生成模型攻克3D医学图像中细小管状结构分割难题，方法新颖且应用价值高。
arXiv:2608.19965v1 Announce Type: cross Abstract: Segmentation of curvilinear anatomical structures in 3D medical images remains challenging due to co…
多智能体协同视觉语言模型，革新PET医学影像去噪新路径
arXiv:2608.13791v1 Announce Type: cross Abstract: Positron emission tomography (PET) imaging suffers from limited spatial resolution and low signal-to…
用分层组合扩散实现医学图像公平生成，零样本捕捉交叉特征，缓解数据偏见。
arXiv:2603.16551v2 Announce Type: replace-cross Abstract: Generative models are increasingly used to augment medical imaging datasets for fairer AI, y…
聚焦医学影像AI的概率鲁棒性评估，为临床安全部署提供新视角与量化方法。
arXiv:2607.03797v1 Announce Type: new Abstract: Deep learning (DL) has shown strong performance in medical image classification, but its trustworthy d…
医学图像分割新方法，相位监督机制提升精准度，值得关注。
arXiv:2601.16064v2 Announce Type: replace-cross Abstract: Deep learning has substantially advanced medical image segmentation, yet achieving robust ge…
语言指令精准引导医学图像分割，多级对比对齐让病灶识别更智能。
arXiv:2412.13533v4 Announce Type: replace Abstract: Medical image segmentation is a fundamental task in numerous medical engineering applications. Rec…
首个专为医学图像理解设计的思维链基准测试，揭示多模态大模型推理缺陷！
arXiv:2601.08758v4 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) reasoning has proven effective in enhancing large language models by …
不用训练即可适配多种医学影像模态，流形细化让异常检测更高效精准。
arXiv:2604.19191v2 Announce Type: replace Abstract: Deploying AI-based anomaly detection across diverse clinical imaging settings remains challenging …
少样本医疗影像分割新突破，位置与形状先验助力跨域泛化
arXiv:2606.28799v1 Announce Type: new Abstract: Few-Shot Medical Image Segmentation (FSMIS) offers a powerful solution to data scarcity but struggles …
语言引导医学图像分割遇照明干扰？对比Retinex学习让模型看清病灶，MICCAI 2026新思路。
arXiv:2606.27794v1 Announce Type: new Abstract: Language-guided Medical Image Segmentation (LMIS) has shown great potential to improve the delineation…
36位作者联合复盘LUMIR挑战赛，梳理医学图像配准基础模型的瓶颈与跃迁路径，AI医疗研究者不容错过。
arXiv:2505.24160v3 Announce Type: replace-cross Abstract: Medical image challenges have played a transformative role in advancing the field, catalyzin…
提出多项式Dice损失，显著提升医学图像分割精度，算法优化必读
arXiv:2606.23373v1 Announce Type: new Abstract: Medical image segmentation is a fundamental task for medical image processing and computer-assisted in…
用JL引理重设计轻量分割网络，破解三维医学影像的效率与鲁棒性难题，值得细读。
arXiv:2509.22307v2 Announce Type: replace Abstract: Lightweight 3D medical image segmentation remains constrained by a fundamental \textit{``efficienc…
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…
无需训练、零样本的3D医学图像异常检测方法，巧妙利用2D基础模型实现批量式诊断。
arXiv:2606.18749v1 Announce Type: new Abstract: Zero-shot anomaly detection (ZSAD) is attractive for medical imaging because clinical systems must han…
Transformer与Mamba强强联合，弱监督下实现精确三维医学图像分割
arXiv:2512.10353v2 Announce Type: replace Abstract: Weakly supervised segmentation enables model training from plane-level labels. Existing methods of…
用少样本原型网络精准评估双参数MRI质量，巧妙桥接单一失真伪影与多因素临床质量。
arXiv:2606.18872v1 Announce Type: new Abstract: Clinical prostate multi-parametric MRI relies heavily on high-quality diffusion-weighted imaging (DWI)…
挑战扩散模型主流地位，快速U-Net实现配对医学图像翻译，兼顾速度与质量。
arXiv:2606.17675v1 Announce Type: new Abstract: Magnetic resonance imaging-signal fat fraction (MRI-SFF) quantifies tissue fat and serves as an establ…