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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2036 条记录，以下是31-40 订阅

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A Novel Exposure Fusion Method Based on Low-Resolution Context Aggregation Attention Network 17

A Novel Exposure Fusion Method Based on Low-Resolution Conte...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Zhang, Wenxiang Wang, Chunmeng School of Computer Engineering Jinling Institute of Technology Jiangsu Nanjing211169 China

ISBN: (纸本)9798331507398

Recently, deep learning based multi-exposure image fusion methods have been widely explored due to their high efficiency and adaptability. In this paper, we propose a multi-exposure image fusion method based on low-resolution context aggregation attention network (CAAN). First, we feed the low-resolution version of the input images to CAAN to predict their low-resolution weight maps. Then, the high-resolution weight maps are generated by guided filtering for upsampling (GFU). Finally, the high-resolution fused image is generated by weighted summation operation. Our proposed network is unsupervised and adaptively adjust the weights of channels to achieve better feature extraction. Experimental results show that our method outperforms existing state-of-the-art methods by both quantitative and qualitative evaluation. © 2024 IEEE.

关键词： image fusion

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Laser Scanning Measurement based on Event Cameras 16

Laser Scanning Measurement based on Event Cameras

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Li, Zhenglei He, Bowen Xiao, Chunyuan Chen, Xiaobo Xi, Juntong Shanghai Jiao Tong University School of Mechanical Engineering Shanghai China

ISBN: (纸本)9798350330755

This study aims to develop a three-dimensional measurement system based on the principles of dynamic visual sensors and line laser rotation scanning, suitable for high-dynamic and high-speed environments. The system comprises two CeleX-V event cameras, an electric turntable, and a line laser. The event cameras have high resolution and operate in an event pixel with external timestamps mode for high-speed event detection and information output. After successfully calibrating the stereo event cameras, we employed MATLAB for image processing and point cloud data generation. Finally, a self-built measurement system was used for three-dimensional contour recovery and measurement experiments to validate system accuracy. This system provides an efficient approach for dynamic three-dimensional measurement, fully leveraging the advantages of dynamic visual sensors. © 2023 IEEE.

关键词： Cameras

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Automatic Grayscale Mapping for Mammograms Enhancement 17

Automatic Grayscale Mapping for Mammograms Enhancement

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Wang, Jingwei Wang, Junfeng School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798331507398

Mammography is an effective method for the early diagnosis of breast cancer, so improving the quality of mammograms is critical for accurate diagnosis. This can be achieved through grayscale mapping and high-pass filtering. However, conventional grayscale mapping requires engineers to manually adjust the equipment parameters, which, once set, remain unchanged. This process is not only time-consuming but also fails to consistently ensure image quality. In this paper, we propose an automatic grayscale mapping algorithm. Our method first extracts the grayscale demarcation x1 between the background and the breast, then identifies the grayscale demarcation x2 between the breast edges and the breast tissue. Subsequently, a non-linear grayscale mapping based on x1 and x2 is conducted to enhance the details of the breast tissue while maintaining the integrity of the breast edges and reducing the background grayscale. After these steps, high-frequency details of the image are further enhanced through high-pass filtering. Experimental results demonstrate the effectiveness and superiority of our method. © 2024 IEEE.

关键词： Mapping

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Deep Learning-Based Denoising With Noise Power Spectrum and CycleGAN in Low-Dose Head CT images 17

Deep Learning-Based Denoising With Noise Power Spectrum and ...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Li, Tianyi Cao, Wenchao School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Thomas Jefferson University Department of Radiation Oncology PhiladelphiaPA United States

ISBN: (纸本)9798331507398

Head Computed Tomography (CT) is a crucial diagnostic tool in neurological imaging. While low-dose computed tomography (LDCT) aims to minimize radiation exposure, it presents challenges in balancing noise reduction with detail preservation, particularly for head CT where small anatomical structures are vital. This study proposes a deep learning-based denoising technique to enhance the quality of head LDCT images and address the limitations of traditional denoising approaches that often compromise diagnostic accuracy. Our method utilizes noise power spectrum (NPS) and CycleGAN to generate synthetic noisy data for unsupervised model training. Results demonstrate that our approach effectively improves LDCT image quality. Quantitative analysis shows that the root mean square error (RMSE) was below 6.92 Hounsfield Units (HU). The visual quality also indicates prominent improvement in image quality. This novel technique offers a promising solution for enhancing LDCT images in neurological diagnostics, potentially enabling wider adoption of low-dose protocols without compromising diagnostic accuracy. © 2024 IEEE.

关键词： Computerized tomography

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A U-Shaped Multi-Scale Network for Defocus Blur Detection 17

A U-Shaped Multi-Scale Network for Defocus Blur Detection

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Li, Longrui Huang, Liqing College of Computer and Cyber Security Fujian Normal University Fuzhou350117 China Digital Fujian Institute of Big Data Security Technology Fuzhou350117 China Fujian Provincial Engineering Research Center of Big Data Analysis and Application Fuzhou350117 China

ISBN: (纸本)9798331507398

Defocus blur detection (DBD) aims at accurately extract the in-focus sharp regions in natural images. Despite significant progress, the presence of uniform regions and gradient boundaries remain two of the most challenging problems. In this paper, we use a U-shaped multi-scale image input network for image DBD. The model is a U-shaped encoder-decoder structured network that incorporates inputs from multi-scale images to simultaneously extract features from images of different scales, and a feature fusion module (FFM) of the corresponding scales in the encoder part in order to better learn the features of these different scales. Experiments on two public datasets demonstrate the superior performance of the method in this paper in dealing with defocus blur detection. © 2024 IEEE.

关键词： Decoding

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Endoscopic image processing Method for Virtual Chromoendoscopy with Controlled Color Transform and Local Contrast Accuracy 17

Endoscopic Image Processing Method for Virtual Chromoendosco...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Obukhova, Nataliia A. Motyko, Alexandr A. Pozdeev, Alexandr A. Savelieva, Olga R. Smirnov, Konstantin A. Saint Petersburg University Saint Petersburg Electrotechnical University 'LETI' Saint Petersburg Russia

ISBN: (纸本)9798331507398

In recent years, the development of medical video systems is accompanied by continuous improvement of visualization techniques, which promotes more accurate diagnosis of pathological changes in internal organs and tissues of patients. One of such technologies is virtual chromoendoscopy, which helps to improve the diagnostic value of endoscopic images. Known implementations in modern hardware are I-SCAN and FICE. In addition, there are works devoted to image processing algorithms simulating narrow-spectral imaging. This study introduces a novel approach to virtual chromoendoscopy (VCE) that utilizes digital image processing techniques applied to images captured under white light. A key characteristic of this method is its implementation of local nonlinear processing for each color channel. The effectiveness of this approach was evaluated using the KVASIR open database of endoscopic images, demonstrating significant improvements in color contrast. This innovative technique enables software-based image processing to achieve visualizations that align with cutting-edge advancements in VCE. © 2024 IEEE.

关键词： Endoscopy

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Enhancing Emotion Detection in Chatbots for Improved Mental Health Support: Addressing Limitations in Mental Disorders and Emotion Detection 17

Enhancing Emotion Detection in Chatbots for Improved Mental ...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Krabashini, Nagendran Pillai Guo, Jiandong Chen, Junzuo Han, Bolin Dai, Zihan School of Information & Software Engineering University of Electronic Science & Technology of China China

ISBN: (纸本)9798331507398

The increase in the adoption of AI-driven chatbots in mental health support, accurately detecting and responding to users' emotions is crucial for effective communication. This paper proposes a novel framework that enhances emotion detection in chatbots by leveraging BERT (Bidirectional Encoder Representations from Transformers) and ensemble learning techniques. Our approach addresses the inherent limitations in existing emotion detection systems, particularly when dealing with complex emotional states and mental health disorders. Using an array of tests, we show that our suggested model works better than conventional approaches, providing enhanced precision, resilience, and the ability to more effectively assist mental health therapies. This research contributes to the ongoing development of AI in mental health, providing a more nuanced and effective approach to emotion detection. © 2024 IEEE.

关键词： Electronic health record

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DoH Detection Method Based on Self-Attention BiLSTM 17

DoH Detection Method Based on Self-Attention BiLSTM

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Deng, Zhaorui Jang, Kui Huang, Ruibin Wu, Bo Zhu, Silin College of Electronics and Information Engineering Shenzhen University Shenzhen China Shenzhen University Information Center Shenzhen China

ISBN: (纸本)9798331507398

DoH (DNS over HTTPS) is an encrypted DNS Protocol encapsulated in Hyper Text Transfer Protocol over SecureSocketLayer (HTTPS). It is one of the main protocols used to encrypt traffic in the domain name system. DoH plays an important role in preventing DNS hijacking and protecting user privacy, but attackers can also use DoH to establish DNS covert tunnels to achieve botnet control and other malicious behaviors. Aiming at the difficulty of classification and low accuracy in DoH detection, this paper designs a multi-classification detection method for DoH based on Self-Attention BiLSTM model. Experimental results show that the proposed method is superior to common machine learning models and traditional deep learning models in accuracy. © 2024 IEEE.

关键词： HTTP

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A VR Amblyopia Rehabilitation System based on the P5G Design Framework 17

A VR Amblyopia Rehabilitation System based on the P5G Design...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Yan, Ye Hang, Long Tian, Yuan Huang, Shengming Luo, Xiaoliang Jie, Xinzheng Zhang, Xiaobing Sheng, Jiale Lin, Jinhua Dong, Yuhan Tsinghua Shenzhen International Graduate School Shenzhen China China Mobile Virtual Reality Innovation Center Nanchang China

ISBN: (纸本)9798331507398

Amblyopia is a common childhood condition with reduced vision uncorrectable by lenses. To improve the treatment efficiency and patient compliance for amblyopia, we propose a novel virtual reality (VR) rehabilitation system based on the P5G design framework through gamified tasks and multi-sensory stimulation. A clinical trial comparing traditional occlusion therapy with VR-based rehabilitation found that one month of combined therapy equivalent to one year of occlusion therapy. The VR system also shows 100% compliance, enhancing patient engagement and long-term participation. The study concludes that the VR system is an effective, feasible approach for pediatric amblyopia treatment, with potential for broader application. © 2024 IEEE.

关键词： Patient rehabilitation

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Full HD Low-Light Video Real-Time Enhancement for General-Purpose CPUs 17

Full HD Low-Light Video Real-Time Enhancement for General-Pu...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Li, Zeqian Lu, Jinzheng Lu Xiang, Qiang School of Information Engineering Southwest University of Science and Technology Sichuan Mianyang621010 China

ISBN: (纸本)9798331507398

Aiming at the poor observation effect of video images due to insufficient light source or unbalanced illumination, and the difficulty of real-time performance of existing algorithms, a brightness equalization algorithm and its parallel optimization method based on layered thinking were proposed. Firstly, the bright and dark areas are divided in the HSV color space. Then the brightness adaptive gain modulation is performed on the low-illumination area. Thirdly, the generated brightness-gain mapping table is applied to the RGB space to achieve low-illumination video image enhancement. For real-time requirements, the 256-level grayscale is mapped to a two-dimensional Luminance Gain Lookup Table (2D-LGLUT) to solve the problem of repeated calculation per frame, and the Intel Advanced Vector Extensions (A VX) instruction set is applied. It realizes efficient and fast processing of 256-bit pixels in a single instruction. The experimental results show that the adopted method achieves the real (≥71f/s) processing target of full High Definition (HD, 1920xl080) video images while ensuring the brightness equalization effect. © 2024 IEEE.

关键词： Equalizers

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