119 Result(s)
within
**aoqiang **a
Artificial Intelligence
Image Processing and Computer Vision
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Article
Precision in pursuit: a multi-consistency joint approach for infrared anti-UAV tracking
In addition to addressing issues commonly encountered in generic visual object tracking, this task endeavors necessitates co** with the diminutive characteristics of infrared UAV targets, potential discontin...
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Chapter and Conference Paper
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation
Composed image retrieval (CIR) is a challenging task where the input query consists of a reference image and its corresponding modification text. Recent methodologies harness the prowess of visual-language pre...
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Chapter and Conference Paper
DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer
Automated and accurate classification of histopathological images of pancreatic cancer can lead to higher survival rates for more pancreatic cancer patients in the clinic. However, there are very scarce existi...
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Chapter and Conference Paper
PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers in the word. However, the diverse microenvironment, unclear boundaries, integrity destruction inter the slices, and enormous individual d...
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Article
Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer’s disease diagnosis
Magnetic resonance imaging (MRI) and positron emission tomography (PET) are widely used in diagnosis of Alzheimer’s disease (AD). In practice, incomplete modality problem is unavoidable due to the cost of data...
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Chapter and Conference Paper
Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS
Dual-view contrast-enhanced ultrasound (CEUS) has been widely applied in lesion detection and characterization due to the provided anatomical and functional information of lesions. Accurate delineation of lesi...
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Article
Gesture recognition of graph convolutional neural network based on spatial domain
With the iterative update of computer technology, the penetration of computer and other Internet technologies in human–computer interaction systems has become more and more extensive, and the human–computer in...
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Chapter and Conference Paper
Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition
For cognitive workload recognition, electroencephalography (EEG) signals vary from different subjects, thus hindering the recognition performance when direct extending to a new subject. Though calibrating the ...
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Article
Learning to detect soft shadow from limited data
Soft shadow is more challenging to detect than hard shadow due to its ambiguous boundary. Existing shadow detection methods pay more attention to hard shadow scene since collecting and annotating hard shadow i...
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Chapter and Conference Paper
Region-Based Dense Adversarial Generation for Medical Image Segmentation
Deep neural networks (DNNs) have achieved great success in medical image segmentation. However, the DNNs are generally deceived by the adversarial examples, making robustness a key factor of DNNs when applied ...
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Chapter and Conference Paper
Research on Control Algorithm of Unmanned Vessel Formation Based on Multi-agent
In order to improve the accuracy of the formation control of multiple unmanned vessels, reduce the construction and maintenance costs and the impact of the external environment, and improve the robustness of t...
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Chapter and Conference Paper
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer
Lung cancer is one of the most widely spread cancers in the world. So far, the histopathological image remains the “gold standard” in diagnosing lung cancers, and multiple types of pathological images features...
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Article
An effective recognition approach for contactless palmprint
The biometrics character has been widely used for individual identification and verification. Palmprint as one of biological features contains abundant discriminative features, which has already attracted a lo...
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Chapter and Conference Paper
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures
Cone-beam computed tomography (CBCT) is widely used in clinical diagnosis of vertical root fractures (VRFs) which presents as crack on the teeth. However, manually checking the VRFs from a larger number of CBC...
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Chapter and Conference Paper
Brain Connectivity: Exploring from a High-Level Topological Perspective
How invariant structural architecture of brain coupling with variant functionality is still unclear in neuroscience. The previous exploration of relationships between large-scale structural and functional brai...
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Chapter and Conference Paper
A Preliminary Field Study of Air Traffic Controllers’ Fatigue for Interface Design
Air traffic controllers’ fatigue on duty affect their performance and even threaten aviation safety. But the design and promotion of air traffic management systems seldom consider dynamic changes of fatigue fo...
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Chapter and Conference Paper
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound
Contrast-enhanced ultrasound (CEUS) has been one of the most promising imaging techniques in tumor differential diagnosis since the real-time view of intra-tumor blood microcirculation. Existing studies primar...
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Chapter and Conference Paper
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI
Resting-state functional magnetic resonance imaging (rs-fMRI) has been a promising technique for computer-aided diagnosis of neurodevelopmental brain diseases, e.g., autism spectrum disorder (ASD), due to its sen...
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Chapter and Conference Paper
Unified Brain Network with Functional and Structural Data
Brain network analysis has been proved as an effective technology for brain disease diagnosis. For improving diagnosis performance, some efforts have been made to merge functional network and structural networ...
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Chapter and Conference Paper
Correction to: Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification
In a former version of this paper, the CERNET Innovation Project (NGII20190621) was missing from the Acknowledgement section. This has been corrected.
