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Article
Biology
Peishu Wu et al.
Summary: In this paper, a novel attention-based glioma grading network (AGGN) oriented towards magnetic resonance imaging (MRI) is proposed. The AGGN utilizes a dual-domain attention mechanism to consider both channel and spatial information for weight assignment. It also incorporates multi-branch convolution, pooling, and multi-modal information fusion modules to extract and merge features from different modalities. Experimental results demonstrate the effectiveness, superiority, high generalization ability, and strong robustness of the proposed AGGN compared to other models, even without manually labeled tumor masks, alleviating the reliance on supervised information.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Information Systems
Yuchen Yuan et al.
Summary: In this paper, a novel deep learning model called AACA-MLA-D-UNet is proposed for automatic vessel segmentation in fundus images. The model utilizes low-level detailed information and complementary information from different layers to accurately distinguish vessels from the background. Experimental results demonstrate that the proposed method achieves better or comparable performance on retinal vessel segmentation with lower model complexity and has strong generalization ability.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Automation & Control Systems
Nan Wang et al.
Summary: This paper studies fixed-time tracking problems for stochastic nonlinear systems in strict-feedback form and proposes a novel adaptive fuzzy fixed-time controller design method based on the Fuzzy logic system to achieve the convergence of system states to equilibrium point in fixed-time. Numerical examples and vehicle tracking model examples validate the effectiveness of the controller design.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2022)
Article
Biology
Fangfang Dong et al.
Summary: In this paper, a novel retinal vessel segmentation method called CRAUNet is proposed. It is treated as a set of U-Nets, allowing coarse-to-fine representations. The method incorporates DropBlock regularization and multi-scale fusion channel attention, which effectively tackles the overfitting problem and achieves better performance compared to other methods.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Xin Luo et al.
Summary: A latent factor analysis model based on particle swarm optimization algorithm is proposed, which improves the learning rate adaptation while achieving higher prediction accuracy and computational efficiency.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Automation & Control Systems
Han Li et al.
Summary: This paper reviews the use of mathematical tools to enhance LFIA performance, and proposes a novel taxonomy. It also presents the outlook of developing POCT in conjunction with other state-of-the-art techniques, and highlights the importance of applying computational intelligence methods in boosting POCT development.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Biology
Xiang Zhong et al.
Summary: This paper introduces a multi-layer multi-scale dilated convolution network (MMDC-Net) based on U-Net for retinal vessel segmentation. The MMDC module and MLF module are designed to capture global information and filter noisy information, solving the class imbalance problem between background and blood vessels. Experiments demonstrate the superiority and effectiveness of MMDC-Net.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Han Li et al.
Summary: In the context of the global COVID-19 pandemic, a computer aided diagnosis model called Cov-Net is proposed for accurate recognition of COVID-19 from chest X-ray images. Experimental results demonstrate the high feasibility and accuracy of the model in identifying COVID-19. Compared to other algorithms, Cov-Net exhibits superior performance and competitiveness in this task.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Biology
Han Li et al.
Summary: In this paper, a feature learning enhanced convolutional neural network (FLE-CNN) is proposed for cancer detection from histopathology images. Experimental results demonstrate the merits of the proposed FLE-CNN in terms of feature extraction, achieving improved performance compared to other advanced deep learning models.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Automation & Control Systems
Jingyang Mao et al.
Summary: Recursive filtering for nonlinear systems is a core technology in modern industrial systems, facing challenges such as communication scheduling, limited bandwidth, and security vulnerability. It is of utmost significance in theory and great importance in applications to establish engineering-feasible recursive filtering algorithms for networked nonlinear systems. This paper provides an up-to-date survey of existing nonlinear filtering techniques and raises several challenging issues for further research and practical applications.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Yukun Zhou et al.
Summary: This study presents an end-to-end synthetic neural network to enhance segmentation of elusive vessels, achieving satisfactory results by maximizing multi-scale feature representation. SEGAN, MSFRB, and AM all contribute to the network's performance improvements according to various evaluations.
Article
Automation & Control Systems
Jun Hu et al.
Summary: This paper reviews the latest state estimation schemes for complex dynamical networks (CDNs), covering various methods under different performance indices and focusing on protocol-based and compensation-based state estimation approaches. Challenging problems for future research are outlined to promote theoretical developments in related fields.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Yi-Peng Liu et al.
Summary: The study proposes a novel convolutional neural network called FPU-Net, which extracts multiscale representations by constructing two feature pyramids on both the encoder and the decoder of U-Net for better vessel segmentation. Experimental results show that FPU-Net outperforms state-of-the-art methods in terms of accuracy, sensitivity, F1-score, and area under the curve, and demonstrates stronger domain generalization across different datasets.
IET IMAGE PROCESSING
(2021)
Article
Automation & Control Systems
Zhen Li et al.
Summary: This paper explores model order reduction of parametric systems using tensor techniques and a parallel tensor compression algorithm. The proposed method approximates system matrices using tensor functions, constructs a projection matrix for reduced parametric systems, and shows theoretical stability and efficiency through numerical examples.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Review
Computer Science, Artificial Intelligence
Muthu Rama Krishnan Mookiah et al.
Summary: The paper reviews 158 papers published between 2012 and 2020 on retinal blood vessel segmentation and classification, focusing on methods based on machine and deep learning. The methods are divided into different categories for discussion, including evaluation of advantages and limitations, summarizing results, and attempting to assess the accuracy improvement of DL methods.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Automation & Control Systems
Tang Jiaming et al.
Summary: To improve the recognition rate of weak annotation data in facial expression recognition, this paper proposes a multi-scale and multi-region vector triangle texture feature extraction scheme based on weakly supervised clustering algorithm, showing a significant improvement in recognition rate.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Automation & Control Systems
Peng Lu et al.
Summary: A new approach that combines convolutional neural network with augmented dataset is proposed in this paper to address the human face recognition issue on a small original dataset, achieving higher accuracy in face recognition by effectively extracting features from augmented face image dataset. This novel approach's effectiveness and superiority are confirmed through experiments and comparisons with commonly used face recognition methods.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Automation & Control Systems
Wendong Gai et al.
Summary: The improved Tiny YOLOv3 algorithm leverages K-means clustering, pooling, convolution layers, and upsampling/downsampling techniques to enhance feature fusion and multi-scale fusion, ultimately incorporating complete intersection over union in the loss function for improved detection results. It is lightweight and can be trained on a CPU, meeting the requirements of detection speed and accuracy.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Automation & Control Systems
Bing Xu et al.
Summary: This paper considers the design problem of a recursive state estimation algorithm based on delay-prediction compensation for a class of linear time-varying uncertain dynamical networks with network-induced communication transmission delays and stochastic coupling phenomenon. A feasible prediction equation is constructed to compensate the communication transmission delays, and an updated time-varying state estimator is designed. The study demonstrates that the upper bound of the state estimation error covariance matrix can be obtained using stochastic analysis technique and matrix theory, and the gain matrix of time-varying state estimator can be obtained by minimizing the trace of the upper bound.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM
(2020)
Article
Computer Science, Information Systems
Xiaoyu Guo et al.
Article
Computer Science, Artificial Intelligence
Qiangguo Jin et al.
KNOWLEDGE-BASED SYSTEMS
(2019)
Article
Computer Science, Interdisciplinary Applications
Zaiwang Gu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2019)
Article
Computer Science, Interdisciplinary Applications
Qiaoliang Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2016)
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Computer Science, Interdisciplinary Applications
M. M. Fraz et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2012)
Article
Engineering, Biomedical
Muhammad Moazam Fraz et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2012)
Article
Engineering, Biomedical
Marios Vlachos et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2010)
Article
Ophthalmology
Christopher G. Owen et al.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2009)
Article
Computer Science, Interdisciplinary Applications
J Staal et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2004)
Article
Computer Science, Interdisciplinary Applications
A Hoover et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2000)
