Yuan Feng,JiaCheng Fan,BaoXin Tao et al.
Yuan Feng et al.
Purpose: Dental implant surgery is an effective method for remediating the loss of teeth. Robot is expected to increase the accuracy of dental implant surgery. However, most of them are industrial serial robot, with low s...
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models [0.03%]
基于半监督流生成模型的医学图像异常检测方法
Hisaichi Shibata,Shouhei Hanaoka,Yukihiro Nomura et al.
Hisaichi Shibata et al.
Purpose: Radiologists interpret many medical images and clinical practice demands timely interpretation, resulting in a heavy workload. To reduce the workload, here we formulate and validate a method that can handle diffe...
Y M Zhao,Edward H Currie,Louis Kavoussi et al.
Y M Zhao et al.
Purpose: Robotic systems have the potential to overcome inherent limitations of humans and offer substantial advantages to patients including reduction in surgery time. Our group has undertaken the challenge of developing...
Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients [0.03%]
利用三维U形网络透过表面进行观察：覆盖患者的点云式体重估算
Alexander Bigalke,Lasse Hansen,Jasper Diesel et al.
Alexander Bigalke et al.
Purpose: Body weight is a crucial parameter for patient-specific treatments, particularly in the context of proper drug dosage. Contactless weight estimation from visual sensor data constitutes a promising approach to ove...
Bokai Zhang,Amer Ghanem,Alexander Simes et al.
Bokai Zhang et al.
Purpose: Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural net...
Definition and extraction of 2D shape indices of intracranial aneurysm necks for rupture risk assessment [0.03%]
颅内动脉瘤颈部二维形状指数的定义与提取及其破裂风险评估研究
Sarah Mittenentzwei,Oliver Beuing,Belal Neyazi et al.
Sarah Mittenentzwei et al.
Purpose: Intracranial aneurysms are local dilations of brain vessels. Their rupture, as well as their treatment, is associated with high risk of morbidity and mortality. In this work, we propose shape indices for aneurysm...
Automatic measurement plane placement for 4D Flow MRI of the great vessels using deep learning [0.03%]
基于深度学习的大血管四维流体磁共振成像自动测量平面定位方法
Philip A Corrado,Daniel P Seiter,Oliver Wieben
Philip A Corrado
Purpose: Despite the great potential and flexibility of 4D flow MRI for hemodynamic analysis, a major limitation is the need for time-consuming and user-dependent post-processing. We propose a fast four-step algorithm for...
Cheng Wang,Yuichiro Hayashi,Masahiro Oda et al.
Cheng Wang et al.
Purpose: Bronchoscopists rely on navigation systems during bronchoscopy to reduce the risk of getting lost in the complex bronchial tree-like structure and the homogeneous bronchus lumens. We propose a patient-specific br...
Usefulness of X-ray dark-field imaging in the evaluation of local recurrence after nipple-sparing mastectomy [0.03%]
纳米孔暗场射线成像技术在保留乳头的乳腺癌改良根治术术后局部复发评价中的价值研究
Naoki Sunaguchi,Daisuke Shimao,Rieko Nishimura et al.
Naoki Sunaguchi et al.
Purpose: Our previous study suggests that the cross-sectional morphology of ducts and branching of ducts in the nipple are associated with the presence of breast cancer. In this study, we evaluated whether cross-sectional...
Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images [0.03%]
基于CTA图像的粗到细多平面D-SEA UNet颈动脉自动三维分割方法
Junjie Wang,Yuanyuan Yu,Rongyao Yan et al.
Junjie Wang et al.
Purpose: Carotid artery atherosclerotic stenosis accounts for 18-25% of ischemic stroke. In the evaluation of carotid atherosclerotic lesions, the automatic, accurate and rapid segmentation of the carotid artery is a prio...