Evaluating the agreement and reliability of a web-based facial analysis tool for rhinoplasty [0.03%]
评估基于网络的鼻整形面部分析工具的协议和可靠性
Oguzhan Topsakal,Mustafa İlhan Akbaş,Bria Synae Smith et al.
Oguzhan Topsakal et al.
Purpose: Rhinoplasty is one of the most common and challenging plastic surgery procedures. Facial analysis is a crucial step in planning. Utilizing three-dimensional (3D) model of a patient's face is an emerging way of pe...
Controlled Clinical Trial
International journal of computer assisted radiology and surgery. 2021 Aug;16(8):1381-1391. DOI:10.1007/s11548-021-02423-z 2021
Mask then classify: multi-instance segmentation for surgical instruments [0.03%]
先分割后分类：外科手术器械的多实例语义分割
Thomas Kurmann,Pablo Márquez-Neila,Max Allan et al.
Thomas Kurmann et al.
Purpose: The detection and segmentation of surgical instruments has been a vital step for many applications in minimally invasive surgical robotics. Previously, the problem was tackled from a semantic segmentation perspec...
Explaining a model predicting quality of surgical practice: a first presentation to and review by clinical experts [0.03%]
解释一个用于预测外科手术质量的模型：首次向和接受临床专家介绍和审查
Arthur Derathé,Fabian Reche,Pierre Jannin et al.
Arthur Derathé et al.
Purpose: Surgical Data Science (SDS) is an emerging research domain offering data-driven answers to challenges encountered by clinicians during training and practice. We previously developed a framework to assess quality ...
Capsule networks for segmentation of small intravascular ultrasound image datasets [0.03%]
用于小数据集腔内超声图像分割的胶囊网络
Lennart Bargsten,Silas Raschka,Alexander Schlaefer
Lennart Bargsten
Purpose: Intravascular ultrasound (IVUS) imaging is crucial for planning and performing percutaneous coronary interventions. Automatic segmentation of lumen and vessel wall in IVUS images can thus help streamlining the cl...
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections [0.03%]
一种自监督学习策略模拟术后脑腔分割切除术
Fernando Pérez-García,Reuben Dorent,Michele Rizzi et al.
Fernando Pérez-García et al.
Purpose: Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and determining follow-up treatment. Convolutional neural networks (CNNs) are the state-of-the-art image segmentation techniq...
A convenient and stable vertebrae instance segmentation method for transforaminal endoscopic surgery planning [0.03%]
一种方便稳定的经椎间孔内镜手术规划颈椎实例分割方法
Wuke Peng,Liang Li,Libin Liang et al.
Wuke Peng et al.
Purpose: Transforaminal endoscopic surgery (TES) is effective for treatment of intervertebral disc-related diseases. To avoid injury to the critical structures, preoperative planning is required to find a safe working cha...
Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions [0.03%]
深脑刺激干预中微电极记录的听诊时间适应性调整
Thibault Martin,Greydon Gilmore,Claire Haegelen et al.
Thibault Martin et al.
Purpose: Deep brain stimulation (DBS) is a common treatment for a variety of neurological disorders which involves the precise placement of electrodes at particular subcortical locations such as the subthalamic nucleus. T...
A study of three-dimensional reconstruction and printing models in two cases of soft tissue sarcoma of the thigh [0.03%]
大腿软组织肉瘤三维重建及打印模型在两例中的应用研究
Linqian Li,Ke Zhang,Renfeng Wang et al.
Linqian Li et al.
Purpose: The aim of our study was to demonstrate the value of three-dimensional (3D) reconstruction and three-dimensional printing (3DP) models in two cases of soft tissue sarcoma (STS) of the thigh. ...
Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy [0.03%]
基于群体的生成网络的预测在线3D目标跟踪在图像引导放射治疗中的应用
Liset Vázquez Romaguera,Tal Mezheritsky,Rihab Mansour et al.
Liset Vázquez Romaguera et al.
Purpose: Respiratory motion of thoracic organs poses a severe challenge for the administration of image-guided radiotherapy treatments. Providing online and up-to-date volumetric information during free breathing can impr...
Spatiotemporal registration and fusion of transthoracic echocardiography and volumetric coronary artery tree [0.03%]
胸部超声心动图和冠状动脉血管树的时空配准及融合技术研究
Talayeh Ghodsizad,Hamid Behnam,Emad Fatemizadeh et al.
Talayeh Ghodsizad et al.
Purpose: Cardiac multimodal image fusion can offer an image with various types of information in a single image. Many coronary stenosis, which are anatomically clear, are not functionally significant. The treatment of suc...