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Predicting 3D Radiotherapy Dose-Volume Based on Deep Learning

Intelligent Automation & Soft Computing 2024年第2期39卷 319-335页

作者： Do Nang toan Lam Thanh Hien ha manh toan Nguyen Trong Vinh Pham Trung Hieu Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam

Cancer is one of the most dangerous diseaseswith *** of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and *** our study,we focused on the 3D dose prediction problem in radiotherapy by applying the deeplearning approach to computed tomography(CT)images of cancer *** image data has more complex characteristics than normal image data,and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the 3D dose prediction *** proposed four strategies to clarify our hypothesis in different aspects of applying data preprocessing and *** strategies,we trained our custom convolutional neural network model which has a structure inspired by the U-net,and residual blocks were also applied to the *** output of the network is added with a rectified linear unit(Re-Lu)function for each pixel to ensure there are no negative values,which are absurd with radiation *** experiments were conducted on the dataset of the Open Knowledge-Based Planning Challenge which was collected from head and neck cancer patients treatedwith radiation *** results of four strategies showthat our hypothesis is rational by evaluating metrics in terms of the Dose-score and the Dose-volume histogram score(DVH-score).In the best training cases,the Dose-score is 3.08 and the DVH-score is *** addition,we also conducted a comparison with the results of another study in the same context of using the loss function.

关键词： CT image 3D dose prediction data preprocessing augmentation

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Tuberculosis Diagnosis and Visualization with a Large Vietnamese X-Ray Image Dataset

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Intelligent Automation & Soft Computing 2024年第2期39卷 281-299页

作者： Nguyen Trong Vinh Lam Thanh Hien ha manh toan Ngo Duc Vinh Do Nang toan Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Hanoi University of IndustryHanoi11915Vietnam

Tuberculosis is a dangerous disease to human life,and we need a lot of attempts to stop and reverse ***,in theCOVID-19 pandemic,access to medical services for tuberculosis has become very *** late detection of tuberculosis could lead to danger to patient health,even *** one of the countries heavily affected by the COVID-19 pandemic,andmany residential areas as well as hospitals have to be isolated for a long *** demands a fast and effective tuberculosis diagnosis solution to deal with the difficulty of accessingmedical services,such as an automatic tuberculosis diagnosis *** our study,aiming to build that system,we were interested in the tuberculosis diagnosis problem from the chest X-ray images of Vietnamese *** chest X-ray image is an important data type to diagnose tuberculosis,and it has also received a lot of attention from deep learning *** paper proposed a novel method for tuberculosis diagnosis and visualization using the deeplearning approach with a large Vietnamese X-ray image *** detail,we designed our custom convolutional neural network for the X-ray image classification task and then analyzed the predicted result to provide visualization as a *** prove the performance of our network model,we conducted several experiments to compare it to another study and also to evaluate it with the dataset of this *** support the implementation,we built a specific annotation system for tuberculosis under the requirements of radiologists in the Vietnam National Lung Hospital.A large experiment dataset was also from this hospital,and most of this data was for training the convolutional neural network *** experiment results were evaluated regarding sensitivity,specificity,and *** achieved high scores with a training accuracy score of 0.99,and the testing specificity and sensitivity scores were over *** on the X-ray image classification result,we visualize pr

关键词： Tuberculosis classification Vietnamese chest X-ray deep learning

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Detecting Tuberculosis from Vietnamese X-Ray Imaging Using Transfer Learning Approach

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Computers, Materials & Continua 2023年第3期74卷 5001-5016页

作者： ha manh toan Lam Thanh Hien Ngo Duc Vinh Do Nang toan Institute of Information Technology–Vietnam Academy of Science and Technology Hanoi10072Vietnam Lac Hong University Bien HoaDong Nai76120Vietnam hanoi University of Industry Hanoi11915Vietnam

Deep learning created a sharp rise in the development of autonomous image recognition systems,especially in the case of the medical *** lung problems,tuberculosis,caused by a bacterium called Mycobacterium tuberculosis,is a dangerous disease because of its infection and *** an infected person coughs or sneezes,tiny droplets can bring pathogens to others through *** mainly damages the lungs,but it also affects any part of the ***,during the period of the COVID-19(coronavirus disease 2019)pandemic,the access to tuberculosis diagnosis and treatment has become more difficult,so early and simple detection of tuberculosis has been more and more *** our study,we focused on tuberculosis diagnosis by using the chestX-ray image,the essential input for the radiologist’s profession,and researched the effectiveness of the transfer learning approach in the case study of Vietnamese chest X-ray *** proposed four strategies to clarify our hypothesis in different ways of applying transfer learning and different training set *** also prepared a Vietnamese X-ray image dataset with the support of the VRPACS team to provide the basis for training and testing deep learning *** experiments were carried out by applying three different architectures,Alexnet,Resnet,and Densenet,on international,Vietnamese,and combined X-ray image *** training,all models were verified on a pure Vietnamese X-rays *** results show that transfer learning is suitable in the case study of Vietnamese chest X-ray images with high evaluating metrics in terms of AUC(Area under the Receiver Operating Characteristic Curve),sensitivity,specificity,and *** the best strategy,most of the scores were more than 0.93,and all AUCs were more than 0.98.

关键词： Tuberculosis diagnosis transfer learning Vietnamese chest X-ray

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Dry eye rate and its relationship with disease stage in patients with primary hypertension:a cross-sectional study in Vietnam

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International Journal of Ophthalmology(English edition) 2024年第4期17卷 653-658页

作者： Tran Tat Thang Pham Hong Phuong Nguyen Sa Huynh Nguyen Trung Kien NguyenDuy toan Nguyen Thi Thu ha Le ha Khoa Nguyen Huu Dung Thai Doan Thang Le Viet Thang Nghe An Eye Hospital Nghe An 43000Vietnam Nghe An Friendship General Hospital Nghe An 43000Vietnam Military Hospital 103 Ha Noi 100000Vietnam Vietnam Military Medical University Ha Noi 100000Vietnam hanoi Medical University Ha Noi 100000Vietnam Bạch Mai Hospital Ha Noi 100000Vietnam TTH Vinh General Hospital Nghe An 100000Vietnam

AIM:To determine the dry eye(DE)rate and its relationship with disease stage in patients with primary ***:A cross-sectional study included 432 patients with primary hypertension(with an equal number of patients in each group:144 in stage Ⅰ,Ⅱ,and Ⅲ hypertension)and 144 healthy subjects as a control *** Ocular Surface Disease Index(OSDI)and Schirmer Ⅰ test without anesthetics were conducted on all 576 *** with OSDI scoreshan in the control group(41.7%versus 18.8%;Phan those without DE,P<*** age,a long duration of hypertension,diabetes mellitus,elevated plasma creatinine,and CRP-hs levels were independent factors associated with DE in primary hypertension patients,P<***:DE is a common disorder associated with advanced age,a long duration of hypertension,diabetes mellitus,elevated plasma CRP-hs,and creatinine levels in patients with primary hypertension.

关键词： primary hypertension dry eye stage of hypertension plasma creatinine

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The Roles of Female Involvement and Risk Aversion in Open Access Publishing Patterns in Vietnamese Social Sciences and Humanities

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Journal of Data and Information Science 2022年第1期7卷 76-96页

作者： Minh-Hoang Nguyen Huyen Thanh Thanh Nguyen manh-toan Ho Tam-Tri Le Quan-Hoang Vuong Centre for Interdisciplinary Social Research Phenikaa UniversityYen Nghia WardHa Dong DistrictHanoi 100803Vietnam

Purpose:The open-access(OA)publishing model can help improve researchers’outreach,thanks to its accessibility and visibility to the ***,the presentation of female researchers can benefit from the O A publishing *** that,little is known about how gender affects OA ***,the current study explores the effects of female involvement and risk aversion on OA publishing patterns among Vietname se social sciences and ***/methodology/approach:The study employed Bayesian Mindsponge Framework(BMF)on a dataset of 3,122 Vietnamese social sciences and humanities(SS&H)publications during *** Mindsponge mechanism was specifically used to construct theoretical models,while Bayesian inference was utilized for fitting ***:The result showed a positive association between female participation and OA publishing ***,the positive effect of female involvement on OA publishing probability was negated by the high ratio of female researchers in a *** status was negatively associated with the JIF of the journal in which the publication was published,but the relationship was moderated by the involvement of a female researcher(s).The findings suggested that Vietnamese female researchers might be more likely to publish under the OA model in journals with high JIF for avoiding the risk of public *** limitations:The study could only provide evidence on the association between female involvement and OA publishing ***,whether to publish under OA terms is often determined by the first or corresponding authors,but not necessarily *** implications:Systematically coordinated actions are suggested to better support women and promote the OA movement in ***/value:The findings show the OA publishing patterns of female researchers in Vietnamese SS&H.

关键词： Open science Gender inequality Risk-aversion Vietnam Bayesian analysis

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Conflict management styles of nurse managers and influencing factors in children’s hospital, Vietnam

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Journal of Integrative Nursing 2023年第4期5卷 266-272页

作者： ha manh TUAN Tran Thi Hong HUONG Le Viet TUNG Postgraduate Department University of Medicine and Pharmacy at Ho Chi Minh CityHo Chi Minh CityVietnam Head of Branch 2 University Medical Center Ho Chi Minh CityHo Chi Minh CityVietnam Department of Ophthalmology Children’s Hospital 1Ho Chi Minh CityVietnam Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh CityHo Chi Minh CityVietnam Training and Scientific Research Department University Medical Center Ho Chi Minh CityHo Chi Minh CityVietnam

Objective:This study aimed to describe the conflict management styles and identify factors affecting the conflict management styles of nurse *** and Methods:A cross-sectional study was conducted by interviewing nurse managers with a questionnaire,including the Rahim Organizational Conflict Inventory-II Form B,used to assess an individual’s approach to conflict management across five styles:cooperating,competing,compromising,obliging,and ***:A total of 30 nurse managers participated in this *** mean scores of the cooperating style were the highest at 4.3±0.4,followed by a compromising style at 3.4±0.5,an avoiding style at 3.1±0.6,an accommodating style at 2.9±0.7,and a competing style at 2.8±0.8(χ^(2)=66.624,Phan those of master’s degree nurse managers(2.7±0.6)(P=0.036).Nurse managers over 40 years old,holding a managerial position for≥10 years,and frequent conflict handling rated higher mean scores for the cooperating style than their counterparts(Phat enhance the competencies of nurse managers in conflict management.

关键词： Conflict conflict management nurse nurse manager

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Hybridization of Differential Evolution and Adaptive-Network-Based Fuzzy Inference Systemin Estimation of Compression Coefficient of Plastic Clay Soil

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 149-166页

作者： manh Duc Nguyen ha Nguyenhai Nadhir Al-Ansari MahdisAmiri hai-Bang Ly Indra Prakash Binh Thai Pham University of Transport and Communications Hanoi100000Vietnam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Department of Watershed&Arid Zone Management Gorgan University of Agricultural Sciences&Natural ResourcesGorgan***Iran University of Transport Technology Hanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

One of the important geotechnical parameters required for designing of the civil engineering structure is the compressibility of the *** this study,the main purpose is to develop a novel hybrid Machine Learning(ML)model(ANFIS-DE),which used Differential Evolution(DE)algorithm to optimize the predictive capability of Adaptive-Network-based Fuzzy Inference System(ANFIS),for estimating soil Compression coefficient(Cc)from other geotechnical parameters namelyWater Content,Void Ratio,SpecificGravity,Liquid Limit,Plastic Limit,Clay content and Depth of Soil *** of the predictive capability of the novel model was carried out using statistical indices:Root Mean Square Error(RMSE),Mean Absolute Error(MAE),and Correlation Coefficient(R).In addition,two popular ML models namely Reduced Error Pruning Trees(REPTree)and Decision Stump(Dstump)were used for *** showed that the performance of the novel model ANFIS-DE is the best(R=0.825,MAE=0.064 and RMSE=0.094)in comparison to other models such as REPTree(R=0.7802,MAE=0.068 and RMSE=0.0988)andDstump(R=0.7325,MAE=0.0785 and RMSE=0.1036).Therefore,the ANFIS-DE model can be used as a promising tool for the correct and quick estimation of the soil Cc,which can be employed in the design and construction of civil engineering structures.

关键词： Compression coefficient differential evolution adaptive-network-based fuzzy inference system machine learning vietnam

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Twin reversed arterial perfusion sequence-a rare and dangerous complication form of monochorionic twins:A case report

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World Journal of Clinical Cases 2022年第28期10卷 10214-10219页

作者： Nguyen Duy Anh Nguyen-Thi Thu ha Nguyen-Thi Sim Nguyen Khac toan Phan-Thi Huyen Thuong Nguyen Minh Duc Fetal Medicine Center Hanoi Obstetrics and Gynecology HospitalHanoi 100000Vietnam Department of Assisted Reproduction Hanoi Obstetrics and Gynecology HospitalHanoi 100000Vietnam Department of Obstetrics and Gynecology Hanoi University of Medicine and PharmacyHanoi 100000Vietnam Department of Radiology Pham Ngoc Thach University of MedicineHo Chi Minh City 700000Vietnam

BACKGROUND Twin reversed arterial perfusion(TRAP) sequence is an extremely rare congenital anomaly in monochorionic(MC) *** condition is characterized by a malformed fetus(acardiac twin) without cardiac activities being perfused by a structurally normal one(pump twin) via an artery-to-artery anastomosis in a reverse *** SUMMARY We described the first case of TRAP to receive laser surgery in *** 26-wk pregnancy was originally misdiagnosed in another hospital as MC twins with single intrauterine fetal *** admission to our center,the diagnosis was amended to a 26-wk TRAP sequence stage *** acardiac twin was 7.5 cm at the longest length,the ratio of the weight of the acardiac twin to the weight of the pump twin was more than 90%,the pump twin showed fetal distress with absent diastolic flow in umbilical artery of pump twin,and the peak systolic velocity in the middle cerebral artery = 1.6 Mo *** performed emergency laser photocoagulation of the acardiac twin’s umbilical *** surgery,we successfully maintained the pregnancy for 8 wk and ended it electively by cesarean section at 34 wk of gestation due to rupture of *** TRAP should be appropriately diagnosed and treated early to avoid complications of the pump *** laser photocoagulation is a new and effective treatment for this condition.

关键词： Twin reversed arterial perfusion Acardiac twin Pump twin Laser Case report

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Eye Strain Detection During Online Learning

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Intelligent Automation & Soft Computing 2023年第3期35卷 3517-3530页

作者： Le Quang Thao Duong Duc Cuong Vu manh Hung Le Thanh Vinh Doan Trong Nghia Dinh ha hai Nguyen Nhan Nhi Faculty of Physics VNU University of ScienceHanoi100000Vietnam University of Science Vietnam National UniversityHanoi100000Vietnam VNU-HUS High School for Gifted StudentsHanoi100000Vietnam hanoi-Amsterdam High School for the Gifted Hanoi100000Vietnam

The recent outbreak of the coronavirus disease of 2019(Covid-19)has been causing many disruptions among the education systems worldwide,most of them due to the abrupt transition to online *** sudden upsurge in digital electronic devices usage,namely personal computers,laptops,tablets and smart-phones is unprecedented,which leads to a new wave of both mental and physical health problems among students,for example eye-related *** overexpo-sure to electronic devices,extended screen time usage and lack of outdoor sun-light have put a consequential strain on the student’s ophthalmic health because of their young age and a relative lack of responsibility on their own *** to take appropriate external measures to mitigate the negative effects of this pro-cess could lead to common ophthalmic illnesses such as myopia or more serious *** remedy this situation,we propose a software solution that is able to track and capture images of its users’eyes to detect symptoms of eye illnesses while simultaneously giving them warnings and even offering *** meet the requirements of a small and light model that is operable on low-end devices without information loss,we optimized the original MobileNetV2 model with depth-wise separable convolutions by altering the parameters in the last layers with an aim to minimize the resizing of the input image and obtained a new model which we call *** with applying the knowledge distillation tech-nique and ResNet-18 as a teacher model to train the student model,we have suc-cessfully increased the accuracy of the EyeNet model up to 87.16%and support the development of a model compatible with embedded systems with limited computing power,accessible to all students.

关键词： Digital eye strain Covid-19 online study knowledge distillation eye care EyeNet

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A Data Collection on Secondary School Students’STEM Performance and Reading Practices in an Emerging Country

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Data Intelligence 2021年第2期3卷 336-356页

作者： Quan-Hoang Vuong Viet-Phuong La manh-toan Ho Thanh-hang Pham Thu-Trang Vuong ha-My Vuong Minh-Hoang Nguyen Centre for Interdisciplinary Social Research Phenikaa UniversityYen Nghia WardHa Dong DistrictHanoi 100803Vietnam A.I.for Social Data Lab Vuong&AssociatesDong Da DistrictHanoi 100000Vietnam School of Business and Management RMIT Vietnam UniversityHanoi 100000Vietnam

Science,technology,engineering,and mathematics(STEM)education has become a critical factor in promoting sustainable ***,book reading is still an essential method for cognitive development and knowledge *** developing countries where STEM teaching and learning resources are limited,book reading is an important educational tool to promote ***,public data sets about STEM education and book reading behaviors in emerging countries are *** article,therefore,aims to present a data set of 4,966 secondary school students from a school-based data collection in *** data set comprises of five major categories:1)students’personal information(including STEM performance),2)family-related information,3)book reading preferences,4)book reading frequency/habits,and 5)classroom *** introducing the designing principles,the data collection method,and the variables in the data set,we aim to provide researchers,policymakers,and educators with well-validated resources and guidelines to conduct low-cost research,pedagogical programs in emerging countries.

关键词： STEM education Socio-economic status Book reading Emerging country Students

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