Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty [0.03%]
评估增强现实引导进行全肩关节置换术中盂肱关节固定器置入的效果
Taylor Frantz,Frederick van Gestel,Pieter Slagmolen et al.
Taylor Frantz et al.
Purpose: Computer-aided navigation and patient-specific 3D printed guides have demonstrated superior outcomes in total shoulder arthroplasty (TSA). Nevertheless, few TSAs are inserted using these technologies. Head-worn a...
Enhancing generalization in zero-shot multi-label endoscopic instrument classification [0.03%]
增强零样本多标签内窥镜器械分类的泛化能力
Raphaela Maerkl,Tobias Rueckert,David Rauber et al.
Raphaela Maerkl et al.
Purpose: Recognizing previously unseen classes with neural networks is a significant challenge due to their limited generalization capabilities. This issue is particularly critical in safety-critical domains such as medic...
Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks [0.03%]
基于变分网络的速度重建可信度评估及不确定性估计
Sonia Laguna,Lin Zhang,Can Deniz Bezek et al.
Sonia Laguna et al.
Purpose: Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a promising biomarker for diagnosis. Reconstructing SoS images from ultrasound acquisitions can be cast as a limited-a...
Two-stream MeshCNN for key anatomical segmentation on the liver surface [0.03%]
基于肝脏表面的解剖关键结构两流MeshCNN分割方法
Xukun Zhang,Sharib Ali,Minghao Han et al.
Xukun Zhang et al.
Purpose: Accurate preoperative segmentation of key anatomical regions on the liver surface is essential for enabling intraoperative navigation and position monitoring. However, current automatic segmentation methods face ...
Transformer-based robotic ultrasound 3D tracking for capsule robot in GI tract [0.03%]
基于变压器的机器人超声波3D跟踪以用于胃肠道内的胶囊机器人
Xiaoyun Liu,Changyan He,Mulan Wu et al.
Xiaoyun Liu et al.
Purpose: Ultrasound (US) imaging is a promising modality for real-time monitoring of robotic capsule endoscopes navigating through the gastrointestinal (GI) tract. It offers high temporal resolution and safety but is limi...
Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy [0.03%]
基于图像的2D/3D配准中的不确定性量化及其与精度的关系
Sue Min Cho,Alexander Do,Robert Grupp et al.
Sue Min Cho et al.
Purpose: Reliable and accurate 2D/3D registration is essential for image-guided navigation and surgical robotics, enabling precise spatial alignment. This work investigates uncertainty quantification and characterization,...
Multi-volume rendering using depth buffers for surgical planning in virtual reality [0.03%]
基于深度缓存的多卷合成虚拟现实手术规划方法研究
Balázs Faludi,Marek Żelechowski,Maria Licci et al.
Balázs Faludi et al.
Purpose: Planning highly complex surgeries in virtual reality (VR) provides a user-friendly and natural way to navigate volumetric medical data and can improve the sense of depth and scale. Using ray marching-based volume...
Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices [0.03%]
基于单个二维图像切片的射频消融肝癌肿瘤覆盖率评估方法研究
Nicole Varble,Ming Li,Laetitia Saccenti et al.
Nicole Varble et al.
Purpose: To assess the technical success of radiofrequency ablation (RFA) in patients with hepatocellular carcinoma (HCC), an artificial intelligence (AI) model was developed to estimate the tumor coverage without the nee...
Qi He,Sophia Bano,Danail Stoyanov et al.
Qi He et al.
Purpose: Gastrointestinal (GI) endoscopic imaging involves capturing routine anatomical landmarks and suspected lesions during endoscopic procedures for the clinical diagnosis of GI diseases. These images present three ke...
Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos [0.03%]
自适应敏感性-Fisher正则化在腹腔镜视频血管分割中的异构迁移学习中的应用
Xinkai Zhao,Yuichiro Hayashi,Masahiro Oda et al.
Xinkai Zhao et al.
Purpose: This study aims to enhance surgical safety by developing a method for vascular segmentation in laparoscopic surgery videos with limited visibility. We introduce an adaptive sensitivity-fisher regularization (ASFR...