A Real-Time Registration Algorithm of UAV Aerial Images Based on Feature Matching [0.03%]
基于特征匹配的无人机实时注册算法
Zhiwen Liu,Gen Xu,Jiangjian Xiao et al.
Zhiwen Liu et al.
This study aimed to achieve the accurate and real-time geographic positioning of UAV aerial image targets. We verified a method of registering UAV camera images on a map (with the geographic location) through feature matching. The UAV is us...
Predictive Factors of Local Recurrence after Colorectal Cancer Liver Metastases Thermal Ablation [0.03%]
colorectal癌肝转移射频消融后局部复发的预测因素分析
Julien Odet,Julie Pellegrinelli,Olivier Varbedian et al.
Julien Odet et al.
Background: Identify risk factors for local recurrence (LR) after radiofrequency (RFA) and microwave (MWA) thermoablations (TA) of colorectal cancer liver metastases (CCLM). ...
Comparison of Image Quality and Quantification Parameters between Q.Clear and OSEM Reconstruction Methods on FDG-PET/CT Images in Patients with Metastatic Breast Cancer [0.03%]
比较Q.Clear与OSEM重建方法在转移性乳腺癌患者18F-FDG PET/CT图像中的图像质量和定量参数的区别
Mohammad Naghavi-Behzad,Marianne Vogsen,Oke Gerke et al.
Mohammad Naghavi-Behzad et al.
We compared the image quality and quantification parameters through bayesian penalized likelihood reconstruction algorithm (Q.Clear) and ordered subset expectation maximization (OSEM) algorithm for 2-[18F]FDG-PET/CT scans performed for resp...
Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images [0.03%]
自动生成用于诊断医学图像中疾病的稳健深度学习网络的AutoKeras方法
Ahmad Alaiad,Aya Migdady,Ra&#x;ed M Al-Khatib et al.
Ahmad Alaiad et al.
Automated deep learning is promising in artificial intelligence (AI). However, a few applications of automated deep learning networks have been made in the clinical medical fields. Therefore, we studied the application of an open-source aut...
Environment-Aware Rendering and Interaction in Web-Based Augmented Reality [0.03%]
基于Web的增强现实中的环境感知渲染与交互技术研究
José Ferrão,Paulo Dias,Beatriz Sousa Santos et al.
José Ferrão et al.
This work presents a novel framework for web-based environment-aware rendering and interaction in augmented reality based on WebXR and three.js. It aims at accelerating the development of device-agnostic Augmented Reality (AR) applications....
DCTable: A Dilated CNN with Optimizing Anchors for Accurate Table Detection [0.03%]
DCTable：一种利用优化基元进行准确表格检测的扩张卷积神经网络
Takwa Kazdar,Wided Souidene Mseddi,Moulay A Akhloufi et al.
Takwa Kazdar et al.
With the widespread use of deep learning in leading systems, it has become the mainstream in the table detection field. Some tables are difficult to detect because of the likely figure layout or the small size. As a solution to the underlin...
ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation [0.03%]
基于UNet的回归算法在碳储量及地上生物量估算中的应用研究
Antonio Elia Pascarella,Giovanni Giacco,Mattia Rigiroli et al.
Antonio Elia Pascarella et al.
The United Nations Framework Convention on Climate Change (UNFCCC) has recently established the Reducing Emissions from Deforestation and forest Degradation (REDD+) program, which requires countries to report their carbon emissions and sink...
Xiang Zhou,Yue Cui,Gang Xu et al.
Xiang Zhou et al.
In order to solve the problem of long video dependence and the difficulty of fine-grained feature extraction in the video behavior recognition of personnel sleeping at a security-monitored scene, this paper proposes a time-series convolutio...
Impact of Training Data, Ground Truth and Shape Variability in the Deep Learning-Based Semantic Segmentation of HeLa Cells Observed with Electron Microscopy [0.03%]
基于深度学习的电子显微镜观测到的HeLa细胞语义分割的数据训练、样本真实值和形状变化的影响研究
Cefa Karabağ,Mauricio Alberto Ortega-Ruíz,Constantino Carlos Reyes-Aldasoro
Cefa Karabağ
This paper investigates the impact of the amount of training data and the shape variability on the segmentation provided by the deep learning architecture U-Net. Further, the correctness of ground truth (GT) was also evaluated. The input da...
Sonain Jamil,Oh-Jin Kwon,Jinhee Lee et al.
Sonain Jamil et al.
The advancement in mobile communication and technologies has led to the usage of short-form digital content increasing daily. This short-form content is mainly based on images that urged the joint photographic experts' group (JPEG) to intro...