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Adaptive frequency-domain enhanced deep model driven by heterogeneous networks for medical image segmentation

Knowledge-Based systems 2025年 319卷

作者： Liu, Dong Kuang, Jin Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Xiangnan University Chenzhou423300 China School of Computer and Artificial Intelligence Xiangnan University Chenzhou423300 China Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province Xiangnan University Chenzhou423300 China School of Geosciences Yangtze University Wuhan430100 China

Accurate medical image segmentation necessitates precise localization of global structures and local boundaries due to the high variability in lesion shapes and sizes. However, existing models are limited by conventional spatiotemporal features and single-network architectures, which restrict the simultaneous captures of semantic information and boundary details, thereby challenging generalizable medical image segmentation. To overcome these limitations, we propose a heterogeneous network-driven adaptive frequency-domain enhanced deep model(AFDSeg). First, we introduce the Frequency Domain Adaptive High-Frequency Feature Selection(FAHS) module, which adaptively extracts high-frequency features to enhance contour and detail representation while integrating spatiotemporal and frequency-domain features for improved consistency. Additionally, Prototype-Guided Low-Frequency Feature Aware(PFLA) and Local High-Frequency Salient-Feature Denoising (LHSD) modules are developed, which extract discriminative low-frequency features while suppressing local noise in high-frequency components, thereby facilitating efficient multi-scale feature fusion. Furthermore, the Multi-Level Prototype Feature Refinement(MPFR) Module is introduced to align low- and high-dimensional features during decoding and enhance semantic consistency. Finally, a heterogeneous network framework capable of accommodating multiple network architecture for medical image segmentation is proposed. Our method achieves mDice scores of 93.91%, 88.64%, 91.27%, 90.74%, and 81.38% on the Kvasir-SEG, BUSI, ISIC-2017, ACDC, and Synapse datasets, respectively, and attains 92.09%, 93.50%, and 83.92% in cross-domain experiments on three unseen datasets (Kvasir Capsule-SEG, BUS42, and M&Ms). Our approach consistently outperforms state-of-the-art methods on both benchmark and cross-domain datasets. Extensive quantitative and qualitative experiments demonstrated that AFDSeg accurately segments global structures and local detai

关键词： Semantic Segmentation

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An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance 23

An Empirical Study on Genetic Algorithm for 2D Path Planning...

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2023 International Conference on Computer, Vision and intelligent Technology, ICCVIT 2023

作者： Zhao, Ya-Hong Lan, Yu-Lin Li, Shang-Lin Zhang, Wen-Fen School of Computer and Artificial Intelligence Xiangnan University China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Chenzhou China

ISBN: (纸本)9798400708701

Unmanned aerial vehicle (UAV), with high efficiency, low manpower costs, and flexible convenience, has attracted widespread attention in logistics. UAV trajectory planning is an essential component in this context. Genetic algorithm(GA) is an effective tool for solving complex route optimization problems. However, selecting the optimal combination of parameters for UAV path planning remains a challenging problem, especially in complex urban environments with numerous obstacles. This paper proposes a genetic algorithm-based UAV path planning approach(UAV_GA) that considers obstacle avoidance on a two-dimensional grid-based map. Furthermore, to investigate the general patterns in selecting parameters for GA in such problems, a comprehensive empirical study is conducted. The study analyzes the effects of population size, number of iterations, crossover, and mutation probabilities on algorithm performance. It aims to identify universal patterns for optimal parameter combinations and provide guidance for parameter selection in GA for UAV trajectory planning with obstacle avoidance. © 2023 ACM.

关键词： Motion planning

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intelligent Safety Early Warning System for High-Risk Areas Based On BeiDou and STM32 4

Intelligent Safety Early Warning System for High-Risk Areas ...

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4th International Symposium on Smart and Healthy Cities, ISHC 2022

作者： Mei, Yongbiao Zhang, Zhourong Yu, Fang Jiang, Liang Liu, Zicong Chen, Junjie Xiangnan University School of Computer and Artificial Intelligence Xiangnan University Hunan Engineering Research Center of Advanced Embedded Computing Intelligent Medical Systems Hunan Chenzhou China

ISBN: (纸本)9781665491808

Aiming at the requirements of safety production, this paper designs an intelligent Safety Early Warning System for High-Risk Areas based on BeiDou and STM32. The system utilizes the high-precision positioning of the BeiDou Navigation Satellite System, combined with an electronic fence and a sensing technology, to limit the safety grade of different areas for all personnel in high-risk areas, and meanwhile, the surrounding environment, the posture of workers and the like are intelligently detected by using an Internet of Things technology such as a sensor, achieving the role of timely supervision and safety warning, effectively improving the safety of operations in high-risk areas, and enhancing management efficiency. © 2022 IEEE.

关键词： Human resource management

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research on the Classification Method of Urolithiasis Composition Based on Machine Learning

Research on the Classification Method of Urolithiasis Compos...

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2022 IEEE International Conference on Advances in Electrical engineering and Computer Applications, AEECA 2022

作者： Liao, Xingjiao Liu, Yaohui Guo, Mei Yu, Fang Xiangnan University Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Hunan Chenzhou China Xiangnan University School of Computer and Artificial Intelligence Hunan Chenzhou China

ISBN: (数字)9781665480901

ISBN: (纸本)9781665480901

This paper aims to investigate how to accurately classify urinary calculi components by CT images. The image segmentation is completed by grayscale adjustment of the two-dimensional image and region growth of the three-dimensional image. Grayscale and energy features of the region of interest are extracted in three dimensions. In this paper, the three different models trained by the EasyEnsemble ensemble algorithm are connected in series to achieve layer-by-layer classification of unbalanced samples. The experimental results show that this method can effectively analyze the components of simple calcium oxalate monohydrate, anhydrous uric acid, carbonated apatite and dihydrate calcium oxalate in urinary tract stones, and the AUCs reach AUC=0.93, AUC=1.00, AUC= 0.86, AUC=0.76, respectively, indicating that this method can better perform multi-classification of unbalanced samples. © 2022 IEEE.

关键词： Image segmentation

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research on key technologies and application value of private cloud security cloud management platform 6

Research on key technologies and application value of privat...

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6th International Conference on intelligent computing, Communication, and Devices, ICCD 2023

作者： Min, Xiao Mei, Guo School of Computer and Artificial Intelligence XiangNan University HuNan ChenZhou423000 China Advanced Embedded Computing and Intelligent Medical Systems Hunan Engineering Research Center HuNan ChenZhou423000 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

Nowadays, with the rapid development and popularization of informatization and intelligence, "cloud computing service"is also born. Among them, "private cloud"is an important part of "cloud computing services". This is also known as the "internal cloud"or "corporate cloud"and plays an important role in the realization of information management within the enterprise. By studying the overall architecture of private cloud security management platform, this paper studies the key technologies of cloud security management platform and the application value of cloud security management platform. It can provide more flexible security solutions for governments and enterprises and provide better security for computer networks. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Cloud security

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research and Implementation of Network Security Deployment Based on Private Cloud Security Platform 7

Research and Implementation of Network Security Deployment B...

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7th International Conference on intelligent, Interactive systems and Applications, IISA2022

作者： Min, Xiao Mei, Guo Weiping, Zhu School of Computer and Artificial Intelligence XiangNan University Hunan Chenzhou423000 China Advanced Embedded Computing and Intelligent Medical Systems Hunan Engineering Research Center Hunan Chenzhou423000 China

With the development of science and technology, the computer age has *** a new type of computer network application technology, cloud computing technology is of great significance to promote China's economic ***, in the development of cloud technology, it faces serious security *** cloud providers all claim that their services are very secure in all aspects, especially in data ***, for large enterprises, business-related data is their *** enterprises will not put their important applications on the public cloud for operation, and private cloud has great advantages in this *** paper introduces the relevant concepts and network security deployment methods of cloud technology and private cloud security *** research on private cloud security platform is to better resist the next generation of security *** network security on private cloud security platform can reduce the informatization cost of enterprises, public institutions and government departments and improve work efficiency. © 2022 The Authors. Published by Elsevier B.V.

关键词： Network security

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research into Curriculum Construction Platform of Computer Major Based on intelligent Algorithm 12th

Research into Curriculum Construction Platform of Computer M...

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12th International Conference on Frontier computing, FC 2022

作者： Xie, Hui Wei, Li School of Computer and Artificial Intelligence Xiangnan University Hunan Chenzhou China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Xiangnan University Chenzhou China

ISBN: (纸本)9789819914272

Under the development background of educational curriculum reform, personalized curriculum design has become the key content of current reform of the computer major. In this context, this research carries out a design of a curriculum construction platform for the computer major based on intelligent algorithm. Through the user curriculum design module and personalized curriculum design optimization module design, the technological innovation of computer related discipline curriculum construction is realized. Based on the data collected of teachers and students’ subject behaviors and combined with data modeling, intelligent algorithms and other means, it is possible to realize the differentiated construction of subject curriculums and the purpose of personalized education. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Curricula

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Admission Experts based on Android+VR, AR Technology and Voice Operation 6

Admission Experts based on Android+VR, AR Technology and Voi...

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6th International Conference on Digital Technology in Education, ICDTE 2022

作者： Xiao, Juan Yang, Weichen Li, Faying School of Computer and Artificial Intelligence Xiangnan University Hunan Chenzhou China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Xiangnan University Hunan Chenzhou China Xiangnan University Hunan Chenzhou China

ISBN: (纸本)9781450398091

With the improvement of people’s living standards and the increasing abundance of materials, acceptance has become an indispensable part of people’s life. Nowadays, the application of smartphone is more and more widely used. A mobile APP based on Android system with the theme of acceptance is developed. Augmented Reality (AR) and Virtual Reality (VR) technologies as well as voice operation functions are applied to bring users a technological, convenient and novel experience of acceptance. © 2022 Association for computing Machinery.

关键词： Augmented reality

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Pedestrian Flow Early Warning System Based on WiFi Probe

Pedestrian Flow Early Warning System Based on WiFi Probe

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International Conference on Internet of Things, Communication and intelligent Technology, IoTCIT 2022

作者： Wang, Yichan Ouyang, Hongbo Duan, Yun Xiangnan University Hunan Chenzhou423000 China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Chenzhou China China Post Group Co. Ltd Hunan Chenzhou423000 China

ISBN: (纸本)9789819904150

With the social development and the increasing population, the person flowrate increases year by year in various public places, such as stations、hospitals and shopping malls;in different periods of time, the person flowrate will appears different data values in such places. Therefore, the monitoring of person flowrate data is very important, as an important indicator of regional public health events. The unique MAC address of the customer's mobile phone could be collected by WiFi probe for the unique identification, through data analysis technology it can provide a certain degree of data decision-making basis for decision-makers. Data analysis based on the collected by WiFi probe, break the traditional mode, provide reliable person flowrate analysis, use the extended management ability to deeply understand and provide real flow information, provide effective support for hierarchical early warning of public health events. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Probes

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research on Target Localization of Automatic Picking Robot for Rock Sugar Orange 23

Research on Target Localization of Automatic Picking Robot f...

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2023 International Conference on Computer, Vision and intelligent Technology, ICCVIT 2023

作者： Guo, Yuchen Liu, Dong Li, Qingbo Jiang, Hang Peng, Taomo Zeng, Xiongjian Liu, Ailin School of Computer and Artificial Intelligence Xiangnan University Chenzhou423000 China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Xiangnan University Chenzhou423000 China

ISBN: (纸本)9798400708701

In the production process of rock sugar oranges, picking is the most labor-intensive step. intelligent replacement of traditional manual labor, timely and rapid picking of rock sugar oranges, improving fruit picking quality, is of great significance for expanding the rock sugar orange market. How to effectively recognize and locate rock sugar oranges is a key technology in machine vision in the research of automatic picking robots. A rock sugar orange positioning method is proposed. Firstly, the rock sugar orange image is preprocessed, binarized using Otsu adaptive threshold segmentation, and the positioning parameters and radius of the rock sugar orange are obtained using Hough transform. The K-means clustering pattern classification method is used to classify different circles, and the clustering results are corrected using a circle parameter correction model. © 2023 ACM.

关键词： Computer vision

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