15 papers · ranked by Valyu relevance
Yang Zhang, Andreas Vitalis, Xin Gao
The extension of the voxelization of static structures to a series of (consecutive) MD frames yields a series of 3D lattices. For each grid point with internal coordinates i, j, and k, a time series of discretized properties ${v_{i,j,k}=w_{t,i,j,k}|t\in1\cdotsW}$ is generated, and the dynamic property $v_{i,j,k}$ is…
Roberta Fusco, Mario Sansone, Salvatore Filice, Guglielmo Carone + 3 more
'Daniela Maria Amato' 'Carlo Sansone' 'Antonella Petrillo'] We performed a systematic review of several pattern analysis approaches for classifying breast lesions using dynamic, morphological, and textural features in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Several machine learning approaches…
Qiuhan Jin, Ding Cui, Koen Nelissen
Recognizing and distinguishing actions is a complex cognitive process that relies on integrating various spatiotemporal information. However, the specific contributions of spatial and temporal features to action recognition remain unclear. To address this gap, we conducted fMRI recordings in monkeys as they observed…
Fengqian Pang, Zhiwen Liu
Background The research and analysis of cellular physiological properties has been an essential approach to studying some biological and biomedical problems. Temporal dynamics of cells therein are used as a quantifiable indicator of cellular response to extracellular cues and physiological stimuli. Methods This work…
Zewen Xu, Zheng Rong, Yihong Wu
In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry. Some pioneering work on this technique has expanded the potential of robotic applications. Compared to standard SLAM under the static world assumption…
Wyanne A. Noortman, Dennis Vriens, Cornelis H. Slump, Johan Bussink + 4 more
Radiomic feature extraction of the static and parametric images was performed using PyRadiomics version 2.0 in Python 3.6 (Python Software Foundation, Wilmington, Delaware). For every VOI, 90 features were calculated: intensity (18), shape (13), GLCM (22), GLRLM (16), grey level size zone matrix (GLSZM) (16) and…
Meili Zhu, Qingqing Wang, Jianglin Luo
Among electroencephalogram (EEG) signal emotion recognition methods based on deep learning, most methods have difficulty in using a high-quality model due to the low resolution and the small sample size of EEG images. To solve this problem, this study proposes a deep network model based on dynamic energy features. In…
Kaoutar Mouhcine, Nabila Zrira, Issam Elafi, Ibtissam Benmiloud + 1 more
'Haris Ahmad Khan'] In recent years, dynamic texture classification has become an important task for computer vision. This is a challenging task due to the unknown spatial and temporal nature of dynamic texture. To overcome this challenge, we investigate the potential of deep learning approaches and propose a novel…
Shuhuan Wen, Sen Wang, ZhiShang Zhang, Xuebo Zhang + 1 more
This paper presents a feature classification method based on vision sensor in dynamic environment. Aiming at the detected targets, a double-projection error based on orb and surf is proposed, which combines texture constraints and region constraints to achieve accurate feature classification in four different…
Peichao Cong, Junjie Liu, Jiaxing Li, Yixuan Xiao + 5 more
'Xinjie Feng' 'Xin Zhang' 'Anastasios Doulamis' 'Hui Kong'] Simultaneous location and mapping (SLAM) technology is key in robot autonomous navigation. Most visual SLAM (VSLAM) algorithms for dynamic environments cannot achieve sufficient positioning accuracy and real-time performance simultaneously. When the dynamic…
Wenhua Guo, Jiabao Gao, Yanbin Tian, Fan Yu + 3 more
'Xue-Bo Jin' 'Yuan Gao'] Object tracking is one of the most challenging problems in the field of computer vision. In challenging object tracking scenarios such as illumination variation, occlusion, motion blur and fast motion, existing algorithms can present decreased performances. To make better use of the various…
Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori + 1 more
Symmetries, invariances and conservation equations have always been an invaluable guide in Science to model natural phenomena through simple yet effective relations. For instance, in computer vision, translation equivariance is typically a built-in property of neural architectures that are used to solve visual tasks…
Shihong Yao, Tao Wang, Weiming Shen, Shaoming Pan + 3 more
'Fei Ding' 'Hans A Kestler'] Pedestrian detection have been currently devoted to the extraction of effective pedestrian features, which has become one of the obstacles in pedestrian detection application according to the variety of pedestrian features and their large dimension. Based on the theoretical analysis of six…
Tong Chen, Juan Yang
The art of oil painting reflects on society in the form of vision, while technology constantly explores and provides powerful possibilities to transform the society, which also includes the revolution in the way of art creation and even the way of thinking. The progress of science and technology often provides great…
Jianqiang Sheng, Songhua Xu, Xiaonan Luo
representation Authors: ['Jianqiang Sheng' 'Songhua Xu' 'Xiaonan Luo'] Background Images embedded in biomedical publications carry rich information that often concisely summarize key hypotheses adopted, methods employed, or results obtained in a published study. Therefore, they offer valuable clues for understanding…