Non-rigid image-volume registration for human livers in laparoscopic surgery [0.03%]
腹腔镜手术中的人体肝脏图像体积配准
Zhenggang Cao,Le Xie,Yuchen Yang
Zhenggang Cao
Background: The fusion of intraoperative 2D laparoscopic images with preoperative 3D scans offers significant advantages in minimally invasive surgery, such as improved spatial understanding and enhanced navigation. This ...
Extracellular volume fraction based on dual-layer spectral computed tomography in assessment of gastric cancer: feasibility analysis of low-dose equilibrium phase scanning [0.03%]
基于双重谱CT的胃癌评估外渗体积分数：低剂量平衡期扫描的可行性分析
Zhen Zhang,Xiaoping Zhao,Xuelian Chen et al.
Zhen Zhang et al.
Background: The extracellular volume fraction (fECV) based on equilibrium phase iodine density images (IDIs) of dual-layer spectral detector computed tomography (DLCT) can be used in the assessment of gastric cancer (GC)....
Quantitative analysis of macular and optic disc microvascular parameters in patients with immunoglobulin A nephropathy using optical coherence tomography angiography [0.03%]
光学相干断层扫描血管成像技术量化免疫球蛋白A肾病患者黄斑及视盘微血管参数分析
Chen Qiu,Guihong Wu,Xueqin Zhang et al.
Chen Qiu et al.
Background: Immunoglobulin A nephropathy (IgAN) is a common chronic glomerulonephritis. The kidneys and eyes have structural and developmental similarities, but ocular microvascular changes in IgAN, especially in the macu...
Enhancing diagnostic precision for thyroid C-TIRADS category 4 nodules: a hybrid deep learning and machine learning model integrating grayscale and elastographic ultrasound features [0.03%]
基于灰度和弹性超声影像的甲状腺C-TIRADS 4类结节诊断精准度提升的混合学习模型
Daoyuan Zou,Fei Lyu,Yiqi Pan et al.
Daoyuan Zou et al.
Background: Accurate and timely diagnosis of thyroid cancer is critical for clinical care, and artificial intelligence can enhance this process. This study aims to develop and validate an intelligent assessment model call...
Aplasia cutis congenita of limbs: diagnostic role of prenatal ultrasonography [0.03%]
先天性四肢皮肤缺损：产前超声诊断价值
Fei-Lei Yan,Kai Wang,Tian-Gang Li et al.
Fei-Lei Yan et al.
Feasibility of fully automatic assessment of cervical canal stenosis using MRI via deep learning [0.03%]
基于MRI的深度学习全自动评估宫颈管狭窄的可行性研究
Xiaochen Feng,Yaying Zhang,Minming Lu et al.
Xiaochen Feng et al.
Background: Currently, there is no fully automated tool available for evaluating the degree of cervical spinal stenosis. The aim of this study was to develop and validate the use of artificial intelligence (AI) algorithms...
Effects of plantar static pressure distribution in subject with bilateral hallux limitus: a detailed case-control study [0.03%]
足底静态压力分布对双侧趾僵硬患者的影响：一项详细病例对照研究
Natalia Tovaruela-Carrión,Ricardo Becerro-de-Bengoa-Vallejo,Marta Elena Losa-Iglesias et al.
Natalia Tovaruela-Carrión et al.
Background: Hallux limitus (HL) is defined as the restriction of dorsiflexion (DF) in the first metatarsophalangeal joint (IMTFJ) under closed kinetic chain conditions, where the distal segment is fixed and the foot is in...
Fractional flow reserve calculation optimized by myocardial computed tomography perfusion information [0.03%]
基于心肌CT灌注信息优化计算血流储备分数
Peiming Qin,Yan Yi,Cheng Xu et al.
Peiming Qin et al.
Background: Current computed tomography angiography-derived fractional flow reserve (CT-FFR) diagnosis leaves room for improvement in diagnosing coronary heart disease. In this study, the computed fluid dynamics boundary ...
An innovative bimodal computed tomography data-driven deep learning model for predicting aortic dissection: a multi-center study [0.03%]
一种创新的双模式CT数据驱动的深度学习模型用于主动脉夹层预测：一项多中心研究
Ziqian Li,Lintao Chen,Shengxuming Zhang et al.
Ziqian Li et al.
Background: Aortic dissection (AD) is a lethal emergency requiring prompt diagnosis. Current computed tomography angiography (CTA)-based diagnosis requires contrast agents, which expends time, whereas existing deep learni...