AI深度学习模型仅凭非对比MRI即可预测脑肿瘤强化，多队列研究验证高准确性，有望减少对比剂使用风险
arXiv:2508.16650v3 Announce Type: replace-cross Abstract: Brain tumour MRI typically requires both pre- and post-contrast imaging, but gadolinium is n…
IT之家 6 月 24 日消息，据中国光谷官方今日消息，在武汉大学中南医院神经康复科，36 岁的脑膜瘤术后左侧软瘫患者胡女士，使用武汉生产的 “汉脑 · 知行”无创脑机接口系统 做康复训练不到一个月，成功实现独立行走和无搀扶上下楼梯。 这是 全国首个 无创脑机接口帮助脑肿瘤术后患者快速康复的成功案例…
CoMNeT框架融合MedNeXt与CorrDiff，在3D脑肿瘤分割上取得显著性能提升，值得关注。
arXiv:2606.15305v1 Announce Type: new Abstract: Accurate brain tumor segmentation from multiparametric magnetic resonance imaging (MRI) is critical fo…
多模态特征融合提升脑肿瘤分类精度，一篇值得关注的医学AI前沿研究。
arXiv:2606.11107v1 Announce Type: cross Abstract: Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative…
融合拓扑数据分析与视觉Transformer，在脑肿瘤四分类任务上取得新突破。
arXiv:2606.00927v1 Announce Type: new Abstract: Accurate brain tumor classification from magnetic resonance imaging (MRI) is a key requirement for ear…
通过子区域感知的注意力监督，实现高精度且可解释的脑肿瘤分割，这篇论文为医学影像AI提供了新思路。
arXiv:2605.22572v1 Announce Type: new Abstract: Accurate segmentation of brain tumour sub-regions from multi-parametric MRI is critical for treatment …
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…
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…