术中超声引导肝脏手术中肝内血管实时识别的研究

Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism

Accurate visualization of liver tumors and their surrounding blood vessels is essential for noninvasive diagnosis and prognosis prediction of tumors. In medical image segmentation, there is still a lack of in-depth research on the simultaneous segmentation of liver tumors and peritumoral blood vessels. To this end, we collect the first liver tumor, and vessel segmentation benchmark datasets containing 52 portal vein phase computed tomography images with liver, liver tumor, and vessel annotations. In this case, we propose a 3D U-shaped Cross-Attention Network (UCA-Net) that utilizes a tailored …

MeiBRD：元学习术中生物力学残余变形

MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation

提出混合配准框架，利用稀疏术中对应点自适应生物力学先验，通过图神经扩散函数学习残余变形，结合元学习从术中样本中快速适应，在肝脏体模上优于现有方法。

LIBR+：通过学习基于生物力学的可变形配准残差来改进术中肝脏配准

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

针对术中肝脏配准中测量稀疏、真实形变有限的问题，提出融合LIBR生物力学配准与SR-GCN残差学习的LIBR+方法，并在大型数据集上验证其优于多类现有方法。

用于术中肝脏形变校正的无边界约束、基于生物力学模型的表面匹配

Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correction

针对图像引导肝脏手术中的术中组织形变，提出将改进FEM直接嵌入表面匹配项的3D-3D非刚性配准方法，免除边界条件和额外应变能项，并取得优于或可比现有方法的效果。

Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver

Application of artificial intelligence in medicine brings in highly accurate predictions achieved by complex models, the reasoning of which is hard to interpret. Their generalization ability can be reduced because of the lack of pixel wise annotated images that occurs in frozen section tissue analysis. To partially overcome this gap, this paper explores the approximate explicit feature map (aEFM) transform of low-dimensional data into a low-dimensional subspace in Hilbert space. There, with a modest increase in computational complexity, linear algorithms yield improved performance and keep int…

用于术中像素级分类肝转移性结肠癌的高光谱成像数据集与方法学

A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver

针对术中高光谱成像(HSI)数据缺乏的问题，构建了结肠癌肝转移冷冻切片HSI数据集，并提出SSL-MPRI方法，仅用1%标注像素即优于六种深度学习模型，显著提升了像素级分类性能。