4,225 Result(s)
within
Chapter
**lu Chen
Artificial Intelligence
Image Processing and Computer Vision
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Chapter and Conference Paper
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time...
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Chapter and Conference Paper
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical a...
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
Multi-level Patch Transformer for Style Transfer with Single Reference Image
Despite the recent success of image style transfer with Generative Adversarial Networks (GANs), this task remains challenging due to the requirements of large volumes of style image data. In this work, we pres...
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Chapter and Conference Paper
FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation
Deep learning-based approaches for three-dimensional (3D) grid understanding and processing tasks have been extensively studied in recent years. Despite the great success in various scenarios, the existing app...
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Chapter and Conference Paper
MedFPNet: A Medical Image Segmentation Network Based on Fourier Transform
Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. U-Net and its variants are currently the mainstream strategies to segment the medical images. In orde...
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Chapter and Conference Paper
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...
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Chapter and Conference Paper
The Performance Analysis of Double Intelligent Reflecting Surface-Assisted Cognitive Radio Network
Intelligent reflecting surfaces (IRS) can efficiently improve the performance of wireless communication networks by intelligently reconfiguring the wireless propagation environment. Recently, IRS has been inte...
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Chapter and Conference Paper
Deep Learning for Skin Lesion Segmentation: A Review and Outlook
Human skin acts as an important barrier that protects the proper functioning of the body's circulatory system. According to surveys in the last 30 years, the number of people affected by skin lesions far excee...
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Chapter and Conference Paper
Automatic Summarization Research for Long Texts Targeting Think Tanks
Think tanks are committed to researching social, political, economic, and other issues, providing relevant analyses and recommendations to help decision-makers make informed decisions. As the number of think t...
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Chapter and Conference Paper
Model Distillation for Lane Detection on Car-Level Chips
As one of the most essential perception modules in the autonomous driving system, the lane detection module must accurately and efficiently detect each traffic lane’s location, color and type to secure the veh...
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Chapter and Conference Paper
A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features
To register two images, existing methods normally estimate the parameters of an affine transform, and then perform an inverse affine transform to the test image by using the estimated parameters. Any metric ca...
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Chapter and Conference Paper
Prediction of Spherical Equivalent with Vanilla ResNet
Recently, an increasing of deep learning models has been introduced to address various fundus image tasks, e.g. segmentation, classification, and enhancement. Concurrently, this emergence has been accompanied ...
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Chapter and Conference Paper
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming
Genetic programming (GP) is an evolutionary machine learning method that can be used to address a wide range of both classification and regression conundrums. However, traditional GP algorithms can lead to unn...
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Chapter and Conference Paper
Port Container Detection in Foggy Weather Scenarios Based on YOLOv5
Container detection in foggy weather scenarios is a significant application for logistics, but fog can seriously affect image quality and detection accuracy. This article proposes a deep learning based object ...
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Chapter and Conference Paper
SyncRec: A Synchronized Online Learning Recommendation System
With the rapid development of digitalization and big data technology, numerous online learning materials have become available for self-regulated online learning. However, there is still a lack of a practical ...
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Chapter and Conference Paper
A CNN-Based Real-Time Dense Stereo SLAM System on Embedded FPGA
Simultaneous localization and map** (SLAM) is the task to estimate agent’s ego-motion in the map and reconstruct the 3D geometric of an unknown environment in parallel. Although many SLAM algorithms have bee...
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Chapter and Conference Paper
A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
The height information of flotation foam is crucial in the titanium flotation. Foam height is embedded within foam point clouds. We are the first to introduce point cloud data in flotation analysis. Addressing...
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Chapter and Conference Paper
M \(^2\) Sim: A Long-Term Interactive Driving Simulator
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
