Visual SLAM for robot navigation in healthcare facility [0.03%]
医疗保健机构中机器人导航的视觉 simultaneous localization and mapping (SLAM)
Baofu Fang,Gaofei Mei,Xiaohui Yuan et al.
Baofu Fang et al.
The COVID-19 pandemic has affected many countries, posing a threat to human health and safety, and putting tremendous pressure on the medical system. This paper proposes a novel SLAM technology using RGB and depth images to improve hospital...
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images [0.03%]
基于CT扫描图像的新冠肺炎肺炎病变区域分割与测量方法
Adel Oulefki,Sos Agaian,Thaweesak Trongtirakul et al.
Adel Oulefki et al.
History shows that the infectious disease (COVID-19) can stun the world quickly, causing massive losses to health, resulting in a profound impact on the lives of billions of people, from both a safety and an economic perspective, for contro...
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients [0.03%]
MetaCOVID：用于n-shot诊断COVID-19患者的具有对比损失的Siamese神经网络框架
Mohammad Shorfuzzaman,M Shamim Hossain
Mohammad Shorfuzzaman
Various AI functionalities such as pattern recognition and prediction can effectively be used to diagnose (recognize) and predict coronavirus disease 2019 (COVID-19) infections and propose timely response (remedial action) to minimize the s...
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays [0.03%]
胸部X光片中COVID-19与社区获得性肺炎的自动区分和定位
Zheng Wang,Ying Xiao,Yong Li et al.
Zheng Wang et al.
The COVID-19 outbreak continues to threaten the health and life of people worldwide. It is an immediate priority to develop and test a computer-aided detection (CAD) scheme based on deep learning (DL) to automatically localize and different...
Three-Dimensional Krawtchouk Descriptors for Protein Local Surface Shape Comparison [0.03%]
三维Krawtchouk描述符在蛋白质局部表面形状比较中的应用
Atilla Sit,Woong-Hee Shin,Daisuke Kihara
Atilla Sit
Direct comparison of three-dimensional (3D) objects is computationally expensive due to the need for translation, rotation, and scaling of the objects to evaluate their similarity. In applications of 3D object comparison, often identifying ...
Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification [0.03%]
加权图正则化稀疏脑网络构建用于MCI识别
Renping Yu,Lishan Qiao,Mingming Chen et al.
Renping Yu et al.
Brain functional networks (BFNs) constructed from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely applied to the analysis and diagnosis of brain diseases, such as Alzheimer's disease and its prodrome, namely m...
Strength and Similarity Guided Group-level Brain Functional Network Construction for MCI Diagnosis [0.03%]
基于功能连接强度和相似性的轻量级MCIdiagnosis脑网络模型构建方法研究
Yu Zhang,Han Zhang,Xiaobo Chen et al.
Yu Zhang et al.
Sparse representation-based brain functional network modeling often results in large inter-subject variability in the network structure. This could reduce the statistical power in group comparison, or even deteriorate the generalization cap...
Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms [0.03%]
基于张量补全背景层的X线冠状动脉造影中的精确血管提取
Binjie Qin,Mingxin Jin,Dongdong Hao et al.
Binjie Qin et al.
This paper proposes an effective method for accurately recovering vessel structures and intensity information from the X-ray coronary angiography (XCA) images of moving organs or tissues. Specifically, a global logarithm transformation of X...
A New Design in Iterative Image Deblurring for Improved Robustness and Performance [0.03%]
一种新的迭代图像去模糊设计用于提升稳健性和性能
Taihao Li,Huai Chen,Min Zhang et al.
Taihao Li et al.
In many applications, image deblurring is a pre-requisite to improve the sharpness of an image before it can be further processed. Iterative methods are widely used for deblurring images but care must be taken to ensure that the iterative p...
Texture Analysis for Muscular Dystrophy Classification in MRI with Improved Class Activation Mapping [0.03%]
基于改进类激活映射的肌营养不良MRI图像分类纹理分析
Jinzheng Cai,Fuyong Xing,Abhinandan Batra et al.
Jinzheng Cai et al.
The muscular dystrophies are made up of a diverse group of rare genetic diseases characterized by progressive loss of muscle strength and muscle damage. Since there is no cure for muscular dystrophy and clinical outcome measures are limited...