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An Enhanced Lung Cancer Detection Approach Using Dual-Model Deep Learning Technique

Computer Modeling in Engineering & Sciences 2025年第1期142卷 835-867页

作者： Sumaia Mohamed Elhassan Saad Mohamed Darwish Saleh Mesbah Elkaffas department of information technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt College of Computing and information technology Arab Academy for ScienceTechnology and Maritime TransportAlexandriaP.O.Box 1029Egypt

Lung cancer continues to be a leading cause of cancer-related deaths worldwide,emphasizing the critical need for improved diagnostic *** detection of lung tumors significantly increases the chances of successful treatment and ***,current diagnostic methods often fail to detect tumors at an early stage or to accurately pinpoint their location within the lung ***-model deep learning technologies for lung cancer detection,while beneficial,cannot capture the full range of features present in medical imaging data,leading to incomplete or inaccurate ***,it may not be robust enough to handle the wide variability in medical images due to different imaging conditions,patient anatomy,and tumor *** overcome these disadvantages,dual-model or multi-model approaches can be *** research focuses on enhancing the detection of lung cancer by utilizing a combination of two learning models:a Convolutional Neural Network(CNN)for categorization and the You Only Look Once(YOLOv8)architecture for real-time identification and pinpointing of *** automatically learn to extract hierarchical features from raw image data,capturing patterns such as edges,textures,and complex structures that are crucial for identifying lung ***8 incorporates multiscale feature extraction,enabling the detection of tumors of varying sizes and scales within a single *** is particularly beneficial for identifying small or irregularly shaped tumors that may be challenging to ***,through the utilization of cutting-edge data augmentation methods,such as Deep Convolutional Generative Adversarial Networks(DCGAN),the suggested approach can handle the issue of limited data and boost the models’ability to learn from diverse and comprehensive *** combined method not only improved accuracy and localization but also ensured efficient real-time processing,which is crucial for practical clinical applicati

关键词： Lung cancer detection dual-model deep learning technique data augmentation CNN YOLOv8

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Small cell lung cancer with peripheral neuropathy as the first symptom:Two case reports

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World Journal of Clinical Cases 2025年第9期13卷 30-40页

作者： Man Luo Xiao-Xi Lu Dan-Yang Meng Jin Hu department of Neurology Affiliated Hospital of Jiaxing UniversityJiaxing 314000Zhejiang ProvinceChina department of information technology Affiliated Hospital of Jiaxing UniversityJiaxing 314000Zhejiang ProvinceChina

BACKGROUND Small cell lung cancer(SCLC)is the most malignant type of lung *** in the latent period and early stage of the tumor,SCLC is prone to produce distant metastases with complex and diverse clinical *** is most closely related to paraneoplastic syndrome,and some cases present as paraneoplastic peripheral neuropathy(PPN).PPN in SCLC appears early,lacks specificity,and often occurs before diagnosis of the primary *** is easy to be misdiagnosed as a primary disease of the nervous system,leading to missed diagnosis and delayed diagnosis and *** SUMMARY This paper reports two cases of SCLC with limb weakness as the first *** first symptoms of one patient were rash,limb weakness,and abnormal *** patient was repeatedly referred to the hospital for limb weakness and rash for>1 year,during which time,treatment with hormones and immunosuppressants did not lead to significant improvement,and the condition gradually *** patient was later diagnosed with SCLC,and the dyskinesia did not worsen as the dermatomyositis improved after antineoplastic and hormone *** second case presented with limb numbness and weakness as the first symptom,but the patient did not pay attention to ***,the patient was diagnosed with SCLC after facial edema caused by tumor thrombus invading the ***,he was diagnosed with extensive SCLC and died 1 year after *** The two cases had PPN and abnormal electromyography,highlighting its correlation with early clinical indicators of SCLC.

关键词： Paraneoplastic peripheral neuropathy Small cell lung cancer Peripheral neuropathy Electromyography Dermatomyositis Case report

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Advancements in Liver Tumor Detection:A Comprehensive Review of Various Deep Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan D.Anandan Murugaperumal Krishnamoorthy Vinay Kukreja Nitin Goyal Shih-Yu Chen Deptartment of Artificial Intelligence and Data Science Vardhaman College of EngineeringHyderabad501218India Deptartment of CSE V.S.B College of EngineeringKarur639111India Deptartment of Electrical and Electronics Engineering Vardhaman College of EngineeringHyderabad501218India Centre for Research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia department of Computer Science and information Engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service Research Center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

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Modified Multivariate Process Capability Index Using Principal Component Analysis

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Chinese Journal of Mechanical Engineering 2014年第2期27卷 249-259页

作者： ZHANG Min WANG G Alan HE Shuguang HE Zhen department of Industrial Engineering Tianjin University department of business information technology department of information Management and Management Science Tianjin University

The existing research of process capability indices of multiple quality characteristics mainly focuses on nonconforming of process output, the concept development of tmivariate process capability indices, quality loss function and various comprehensive evaluation methods. The multivariate complexity increases the computation difficulty of multivariate process capability indices（MPCI）, which makes them hard to be used in practice. In this paper, a new PCA-based MPCI approach is proposed to assess the production capability of the processes that involve multiple product quality characteristics. This approach first transforms the original quality variables into standardized normal variables. MPCI measures are then provided based on the Taam index. Moreover, the statistical properties of these MPCIs, such as confidence intervals and lower confidence bound, are given to let the practitioners understand the capability indices as random variables instead of deterministic variables. A real manufacturing data set and a synthetic data set are used to demonstrate the effectiveness of the proposed method. An implementation procedure is also provided for quality engineers to apply our MPCI approach in their manufacturing processes. The case studies demonstrate the effectiveness and feasibility of this new kind of MPCI, which is easier to be used in production practice. The proposed research provides a novel approach of MPCI calculation.

关键词： process capability index multivariate specification region principal component analysis confidence interval

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NONUNIQUENESS AND SINGULAR RADIAL SOLUTIONS OF SYSTEMS OF CONSERVATION LAWS

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Acta Mathematica Scientia 2012年第1期32卷 367-379页

作者： Michael G.Hilgers business and information technology department Missouri University of S & T

The case of a radial initial state for a family of hyperbolic systems of con- servation laws with several spatial dimensions is considered. It will be shown that the singularity at the origin introduces multiple solut... 详细信息

关键词： conservation laws singular solutions nonuniqueness

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A Stochastic Evolutionary Game Perspective on the Stability of Strategic Alliances Against External Opportunism

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Journal of Systems Science & Complexity 2015年第4期28卷 978-996页

作者： XU Yan YU Benhai WANG Youtian CHEN Yanliang College of business Administration Shandong Institute of Business and Technology Graduate department Shandong Institute of Business and Technology School of information Management Hubei University of Economics International business College Shandong Institute of Business and Technology

This paper applies stochastic evolutionary game theory to analyzing the stability of cooperation among members against external opportunism in a multi-firm *** authors first review the pros and cons of pertinent traditional models,and then a stochastic game model on decisions is proposed,where a coordination parameter,a time variable,a punishment effect and bounded rationality are *** Gauss white noise is introduced to reflect the random disturbance in the *** sufficient criteria on stability are developed,which enable us to investigate"if-then"type scenarios and project the impact of different strategies.

关键词： Evolutionary game theory stability stochastic differential equation strategic alliance.

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Synchronization of coupled chaotic Hindmarsh Rose neurons:An adaptive approach

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Chinese Physics B 2015年第10期24卷 93-100页

作者：魏伟 School of Computer and information Engineering Beijing Technology and Business University

In this paper, we consider the synchronization of chaotic Hindmarsh Rose（HR） neurons via a scalar control *** HR neurons coupled with a gap junction are taken into consideration, and an active compensation mechanism-based adaptive control is employed to realize the synchronization of two HR neurons. As such an adaptive control is utilized,an accurate model of the system is of no necessity. Asymptotical synchronization of two HR neurons is guaranteed by theoretical results. Numerical results are also provided to confirm the proposed synchronization approach.

关键词： synchronization Hindmarsh Rose neuron chaos adaptive control

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Chaotic dynamics and its analysis of Hindmarsh-Rose neurons by Shil'nikov approach

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Chinese Physics B 2015年第8期24卷 218-223页

作者：魏伟左敏 School of Computer and information Engineering Beijing Technology and Business University

In this paper, the relationship between external current stimulus and chaotic behaviors of a Hindmarsh–Rose(HR)neuron is considered. In order to find out the range of external current stimulus which will produce chaotic behaviors of an HR neuron, the Shil’nikov technique is employed. The Cardano formula is taken to obtain the threshold of the chaotic motion, and series solution to a differential equation is utilized to obtain the homoclinic orbit of HR neurons. This analysis establishes mathematically the value of external current input in generating chaotic motion of HR neurons by the Shil’nikov method. The numerical simulations are performed to support the theoretical results.

关键词： Hindmarsh–Rose neuron Shil'nikov chaotic motion homoclinic orbit

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Dynamic Multi-Task Allocation Method for Passenger Diffusion in Mobile Crowd Sensing

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Chinese Journal of Electronics 2021年第5期30卷 940-946页

作者： JIANG Weijin LYU Sijian College of Computer and information Engineering Hunan University of Technology and Business

This paper aims to solve the problem of low efficiency, high cost and instability in opportunistic network transmission in the process of mobile group intelligence perception task allocation. Two multi-task dynamic distribution methods based on Lowest cost Participant selection algorithm(LC-PSA) based on user incentive cost and Least number Participant selection algorithm(LN-PSA) based on number of users are proposed respectively. Through these two algorithms,the goal of minimizing the number of people and moving distance required for the task and reducing the system's incentive cost is achieved. Simulation experiments show that compared with similar algorithms, the number of participants in the task distribution scheme selected by the LN-PSA algorithm is reduced by 24.0%, and the system resource consumption is lower, which can provide stable services for the system when users are insufficient in emergencies. Compared with the traditional greedy heuristics algorithm, the LC-PSA algorithm reduces the total system cost by 37.74% and has better overall performance in the comparison experiment.

关键词： mobile group intelligence perception task allocation system resource consumption Lowest cost Participant selection algorithm multitask dynamic distribution methods dynamic multitask allocation method optimisation LN-PSA algorithm passenger diffusion number Participant selection algorithm user incentive cost LC-PSA algorithm instability greedy algorithms opportunistic network transmission traditional greedy heuristics algorithm mobile computing moving distance task distribution scheme mobile crowd sensing resource allocation total system cost

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MDP-Based Budget Allocation for Efficient Cooperative Task Solving

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Chinese Journal of Electronics 2017年第5期26卷 966-972页

作者： JIANG Huan ZUO Min MATSUBARA Shigeo School of Computer and information Engineering Beijing Technology and Business University

In order to facilitate crowdsourcing-based task solving,complex tasks are decomposed into interdependent subtasks that can be executed cooperatively by individual *** to maximize the quality of the final solution subject to the self-interested worker’s utility maximization,a key challenge is to allocate the limited budget among the subtasks as the rewards for workers having various levels of *** study is the first attempt to show the value of Markov decision processes(MDPs)for the problem of optimizing the quality of the final solution by dynamically determining the budget allocation on sequentially dependent subtasks under the budget constraints and the uncertainty of the workers’ *** simulation-based approach verifies that compared to some offline methods where workers’ abilities are fully known,our proposed MDP-based payment planning is more efficient at optimizing the final quality under the same limited budget.

关键词： Budget allocation Markov decision processes(MDPs) Cooperative task solving Task quality optimization Crowdsourcing

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