CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording [0.03%]
CAL-Tutor：用于 obstetric sonography 培训和用户运动数据记录的 HoloLens 2 应用程序
Manuel Birlo,Philip J Eddie Edwards,Soojeong Yoo et al.
Manuel Birlo et al.
Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This proces...
A Parallax Image Mosaic Method for Low Altitude Aerial Photography with Artifact and Distortion Suppression [0.03%]
一种低空航拍旁视影像马赛克方法及拼接图像的缺陷与畸变抑制技术
Jing Xu,Dandan Zhao,Zhengwei Ren et al.
Jing Xu et al.
In this paper, we propose an aerial images stitching method based on an as-projective-as-possible (APAP) algorithm, aiming at the problem artifacts, distortions, or stitching failure due to fewer feature points for multispectral aerial imag...
Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process [0.03%]
医疗增强现实：定义，主要组成部分，领域建模以及设计开发验证过程
Nassir Navab,Alejandro Martin-Gomez,Matthias Seibold et al.
Nassir Navab et al.
Three decades after the first set of work on Medical Augmented Reality (MAR) was presented to the international community, and ten years after the deployment of the first MAR solutions into operating rooms, its exact definition, basic compo...
Auguring Fake Face Images Using Dual Input Convolution Neural Network [0.03%]
使用双重输入卷积神经网络对伪造人脸图像进行鉴定
Mohan Bhandari,Arjun Neupane,Saurav Mallik et al.
Mohan Bhandari et al.
Deepfake technology uses auto-encoders and generative adversarial networks to replace or artificially construct fine-tuned faces, emotions, and sounds. Although there have been significant advancements in the identification of particular fa...
Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study [0.03%]
基于模板PET配准的脑PET衰减校正的概念验证研究
Markus Jehl,Ekaterina Mikhaylova,Valerie Treyer et al.
Markus Jehl et al.
NeuroLF is a dedicated brain PET system with an octagonal prism shape housed in a scanner head that can be positioned around a patient's head. Because it does not have MR or CT capabilities, attenuation correction based on an estimation of ...
Xue Han,Zuojin Hu,Shuihua Wang et al.
Xue Han et al.
According to the World Health Organization statistics, as of 25 October 2022, there have been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide. The spread and severity of COVID-19 are alarming. The economy and ...
Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images [0.03%]
心肌灌注单光子发射计算机断层扫描图像假彩色处理的算法比较研究
Abdurrahim Rahimian,Mahnaz Etehadtavakol,Masoud Moslehi et al.
Abdurrahim Rahimian et al.
Single-photon emission computed tomography (SPECT) images can significantly help physicians in diagnosing patients with coronary artery or suspected coronary artery diseases. However, these images are grayscale with qualities that are not r...
Effects of Image Quality on the Accuracy Human Pose Estimation and Detection of Eye Lid Opening/Closing Using Openpose and DLib [0.03%]
图像质量对使用Openpose和DLib进行人体姿态估计及眼睑开闭检测准确性的影响
Run Zhou Ye,Arun Subramanian,Daniel Diedrich et al.
Run Zhou Ye et al.
Objective: The application of computer models in continuous patient activity monitoring using video cameras is complicated by the capture of images of varying qualities due to poor lighting conditions and lower image reso...
3D Ultrasound versus Computed Tomography for Tumor Volume Measurement Compared to Gross Pathology-A Pilot Study on an Animal Model [0.03%]
三维超声与计算机断层扫描对肿瘤体积测量的比较-动物模型上的初步研究与发展对比gross病理
Fatemeh Makouei,Caroline Ewertsen,Tina Klitmøller Agander et al.
Fatemeh Makouei et al.
The margin of the removed tumor in cancer surgery has an important influence on survival. Adjuvant treatments, prognostic complications, and financial costs are required when the pathologist observes a close/positive surgical margin. Ex viv...
A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval [0.03%]
深度跨模态哈希检索中无配对多模态学习框架研究
Mikel Williams-Lekuona,Georgina Cosma,Iain Phillips
Mikel Williams-Lekuona
Cross-Modal Hashing (CMH) retrieval methods have garnered increasing attention within the information retrieval research community due to their capability to deal with large amounts of data thanks to the computational efficiency of hash-bas...