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Chapter and Conference Paper
Image Denoising Using a Conditional Generative Adversarial Network with Residual Dense Blocks
Image denoising is an important preprocessing step in image analysis. The image denoising models based on deep learning have been recently attracting considerable attention owing to its excellent performance. ...
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Chapter and Conference Paper
Lung Segmentation via Deep Learning Network and Fully-Connected Conditional Random Fields
Computer-Aided Diagnosis (CAD) benefits to early diagnosis and accurate treatment of lung diseases. As a preprocessing of CAD-based chest radiograph analysis, reliable lung segmentation is a prerequisite step ...
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Chapter and Conference Paper
A Cross-Domain Secure Deduplication Scheme Based on Threshold Blind Signature
In the cloud storage environment, client-side deduplication can perform file repetitive detection locally. However, client-side deduplication still faces many security challenges. First, if the file hash value...
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Chapter and Conference Paper
Predicting Human Mobility with Self-attention and Feature Interaction
Mobility prediction plays an important role in a wide range of location-based applications and services. However, two important challenges are not well addressed in existing literature: 1) explicit high-order ...
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Chapter and Conference Paper
A Launch and Recovery System for Unmanned Surface Vehicle Based on Floating Bracket
In recent years, many countries have increasingly invested in the marine industry, thus greatly improving the level of ship automation. As the new favorite in the field of reconnaissance, survey and rescue, un...
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Chapter and Conference Paper
An Automated Launch and Recovery System for USVs Based on the Pneumatic Ejection Mechanism
Unmanned surface vehicles (USVs) have been widely used in the fields of marine scientific research and submarine exploration. However, the launch and recovery of these vehicles are considerably affected by sea...
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Chapter and Conference Paper
An Improved Weighted ELM with Hierarchical Feature Representation for Imbalanced Biomedical Datasets
In medical intelligent diagnosis, most of the real-world datasets have the class-imbalance problem and some strong correlation features. In this paper, a novel classification model with hierarchical feature re...
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Chapter and Conference Paper
A Hybrid Method for Extracting Liver from 3D CT Image
As a key technology of computer-aided medical application, medical image segmentation has been a hot topic in image processing field. Computerized tomography (CT) scan of liver is an indispensable technique fo...
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Chapter and Conference Paper
An Extraction Method of Cerebral Vessels Based on Multi-Threshold Otsu Classification and Hessian Matrix Enhancement Filtering
An integrated cerebral vascular enhancement method based on the multi-threshold Otsu classification for gray voxels relative to cerebral vessels and the multi-scale Hessian feature for the tubular object enhan...
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Chapter and Conference Paper
A New Color Information Entropy Retrieval Method for Pathological Cell Image
For the distribution characteristics in a slice of pathological cell image, the system transforms them into the characteristic vector by quantization and clustering in HSV color model, it promotes the concerne...
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Chapter and Conference Paper
Experimentation and Finite Element Analysis of Electric Field Structure of Electrospinning Machine
The electric field, which is used to vary the nanofibre morphology significantly, is a crucial parameter in electrospinning. It is crucial to analyze the distribution of electric field in electrospinning machi...
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Chapter and Conference Paper
An Automatic Index Validity for Clustering
Many validity index algorithms have been proposed to determine the number of clusters. These methods usually employ the Euclidean distance as the measurement. However, it is difficult for the Euclidean distanc...
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Chapter and Conference Paper
Automated Nomenclature of Upper Abdominal Arteries for Displaying Anatomical Names on Virtual Laparoscopic Images
This paper presents a method for automated nomenclature of abdominal arteries that are extracted from 3D CT images based on the combination optimization approach for the displaying anatomical names on virtual ...