Sex Determination Using Linear Anthropometric Measurements Relative to the Mandibular Reference Plane on CBCT 3D Images [0.03%]
基于CBCT三维图像的下颌参考平面的线性人体测量值的性别鉴定研究
Nikolaos Christoloukas,Anastasia Mitsea,Leda Kovatsi et al.
Nikolaos Christoloukas et al.
Sex determination is a fundamental component of forensic identification and medicolegal investigations. Several studies have investigated sexual dimorphism through mandibular osteometric measurements, including the position of anatomical fo...
Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position [0.03%]
人工智能 dystocia 算法(AIDA)在胎儿横位手的帮助决策中作用研究
Antonio Malvasi,Lorenzo E Malgieri,Tommaso Difonzo et al.
Antonio Malvasi et al.
Transverse fetal head position during labor is associated with increased rates of operative deliveries and cesarean sections. Traditional assessment methods rely on digital examination, which can be inaccurate in cases of prolonged labor. I...
Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation [0.03%]
实时胸部超声影像解读的深度学习模型研发
Austin J Ruiz,Sofia I Hernández Torres,Eric J Snider
Austin J Ruiz
Thoracic injuries account for a high percentage of combat casualty mortalities, with 80% of preventable deaths resulting from abdominal or thoracic hemorrhage. An effective method for detecting and triaging thoracic injuries is point-of-car...
Diagnostic Accuracy of Sonoelastography for Breast Lesions: A Meta-Analysis Comparing Strain and Shear Wave Elastography [0.03%]
声触诊弹性成像诊断乳腺病变的Meta分析：应变弹性成像与 shear wave elastrography 比较
Youssef Ahmed Youssef Selim,Hussein Sabit,Borros Arneth et al.
Youssef Ahmed Youssef Selim et al.
This meta-analysis evaluated the diagnostic accuracy of sonoelastography for distinguishing benign and malignant breast lesions, comparing strain elastography and shear wave elastography (SWE). We systematically reviewed 825 publications, s...
Spectro-Image Analysis with Vision Graph Neural Networks and Contrastive Learning for Parkinson's Disease Detection [0.03%]
基于视觉图神经网络和对比学习的帕金森病光谱图像分析与识别
Nuwan Madusanka,Hadi Sedigh Malekroodi,H M K K M B Herath et al.
Nuwan Madusanka et al.
This study presents a novel framework that integrates Vision Graph Neural Networks (ViGs) with supervised contrastive learning for enhanced spectro-temporal image analysis of speech signals in Parkinson's disease (PD) detection. The approac...
ILViT: An Inception-Linear Attention-Based Lightweight Vision Transformer for Microscopic Cell Classification [0.03%]
基于轻量级视觉变压器的微观细胞分类方法ILViT：采用 inception-linear 注意机制
Zhangda Liu,Panpan Wu,Ziping Zhao et al.
Zhangda Liu et al.
Microscopic cell classification is a fundamental challenge in both clinical diagnosis and biological research. However, existing methods still struggle with the complexity and morphological diversity of cellular images, leading to limited a...
Parallel Multi-Scale Semantic-Depth Interactive Fusion Network for Depth Estimation [0.03%]
一种并行多尺度语义深度互动融合网络的深度估计方法
Chenchen Fu,Sujunjie Sun,Ning Wei et al.
Chenchen Fu et al.
Self-supervised depth estimation from monocular image sequences provides depth information without costly sensors like LiDAR, offering significant value for autonomous driving. Although self-supervised algorithms can reduce the dependence o...
Imaging Evaluation of Periarticular Soft Tissue Masses in the Appendicular Skeleton: A Pictorial Review [0.03%]
附肢骨骼周围软组织肿瘤的影像学评估：配图复习
Francesco Pucciarelli,Maria Carla Faugno,Daniela Valanzuolo et al.
Francesco Pucciarelli et al.
Soft tissue masses are predominantly benign, with a benign-to-malignant ratio exceeding 100:1, often located around joints. They may be contiguous or adjacent to joints or reflect systemic diseases or distant organ involvement. Clinically, ...
SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas [0.03%]
基于真实感体渲染的多目标脑膜瘤三维可视化系统
Jiatian Zhang,Chunxiao Xu,Xinran Xu et al.
Jiatian Zhang et al.
Meningiomas are the most common primary intracranial tumors in adults. For most cases, surgical resection is effective in mitigating recurrence risk. Accurate visualization of meningiomas helps radiologists assess the distribution and volum...
Opportunistic Diagnostics of Dental Implants in Routine Clinical Photon-Counting CT Acquisitions [0.03%]
基于临床常规光子计数CT扫描的牙种植体机会性检测
Maurice Ruetters,Holger Gehrig,Christian Mertens et al.
Maurice Ruetters et al.
Two-dimensional imaging is still commonly used in dentistry, but does not provide the three-dimensional information often required for the accurate assessment of dental structures. Photon-counting computed tomography (PCCT), a new three-dim...