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越南对抗角斑病棉花品种的选育(英文)

棉花学报 2002年第3期14卷 191-192,F003页

作者： bui Thi Ngan

Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier

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Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan Mahmud Md Mamun Ali Mohammad Fahim Shahriar Fahad Ahmed Al-Zahrani Kawsar Ahmed Dip Nandi Francis M.bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

Alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： Alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

Research on Using IMRT Plan for Preoperative Rectal Cancer Patients

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International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2020年第4期9卷 165-177页

作者： Quang bui Vinh Soai Dang Quoc Cuong bui Xuan Toan Hoang Van Truong Vu Radiotherapy Department Hanoi Oncology Hospital Hanoi Vietnam Medicinal Supplies-Medical Physics Division Hanoi Oncology Hospital Hanoi Vietnam

Aims: Research the possibility of using IMRT for rectal cancer patients in preoperative radiotherapy. Methods and Material: The research object is the preoperative radiotherapy plan for rectal cancer patients. The research group made two plans (IMRT, 3DCRT) for each image series of 34 rectal cancer patients who have received preoperative radiotherapy in Hanoi Oncology Hospital;and then compared the dose distribution on PTV, bladder, intestine, femoral bones, the average MU, and QA results of two types of plan. Results: The 95% isodose line and 50% isodose of IMRT plan are closer than those of 3DCRT plan. The average dose of PTV in IMRT plan and 3DCRT plan are 5006 ± 23 cGy and 5036 ± 42 cGy, respectively. The HTCI and HI values of IMRT and 3D plan are 0.97 ± 0.026 and 5.37 ± 1.32;1.00 ± 0.003 and 7.08 ± 0.88. About the dose of organ at risk: The maximum dose, average dose on the right, left femoral head in the IMRT plan are less than those values in the 3DCRT plan (6.2 Gy, 6 Gy, 7.4 Gy, 9 Gy, respectively). The maximum dose and average dose on the bladder of the IMRT plan are smaller than those values of the 3DCRT plan (5.3 Gy, 1.5 times, respectively). The maximum dose and average dose of intestine in the IMRT plan was less than those values in the 3DCRT plan (4.3 Gy, 1.54 times, respectively). The MU number of IMRT plan is 1.5 times bigger than that of 3DCRT plan. Gamma index of IMRT plan is better than that of 3DCRT plan (99% compared with 97%). Conclusions: Using IMRT plan in preoperative radiotherapy for rectal cancer patients can still ensure covered PTV as well as the 3D PLAN. Furthermore, the dose of PTV in the IMRT plan is more uniform than those in the 3D plan, and the dose effect on the OAR surrounding PTV is much lower than when using the 3D plan. When IMRT plan were used to treat the preoperative rectal cancer patients, the LINAC took more time than when using 3DCRT plan.

关键词： Rectal Cancer Preoperative Radiotherapy IMRT HI HTCI Gamma Index

中美骨与软组织肿瘤病理诊断方式及诊断标准的比较：在美国莫菲特癌症中心临床病理学习心得

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中华病理学杂志 2013年第10期42卷 719-720页

作者：丁宜 MarilynM.bui 北京积水潭医院病理科 100035 Department of Anatomical Pathology Moffitt Caneer Center & Reaseareh Institute

2012年5至11月，本人受医院指派赴美在莫菲特癌症中心（*** Cancer Center，MCC）进行为期半年的访问交流，重点学习骨与软组织肿瘤诊断病理。其间，我非常荣幸地参加了2012年度美国骨与软组织肿瘤年会及南MCC、南佛岁里达大学和迈阿密... 详细信息

2012年5至11月，本人受医院指派赴美在莫菲特癌症中心（*** Cancer Center，MCC）进行为期半年的访问交流，重点学习骨与软组织肿瘤诊断病理。其间，我非常荣幸地参加了2012年度美国骨与软组织肿瘤年会及南MCC、南佛岁里达大学和迈阿密大学组织的骨与软组织肿瘤病理诊断课程。现将学习心得与体会和国内同仁分享。

关键词：骨与软组织肿瘤肿瘤病理诊断学习临床病理诊断标准诊断方式心得癌症

Analyzing Planning Techniques for Whole Brain Radiotherapy

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International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2020年第1期9卷 1-13页

作者： Soai Dang Quoc Quang bui Vinh Cuong bui Xuan Toan Hoang Van Truong Vu Medicinal Supplies Medical Physics Division Hanoi Oncology Hospital Hanoi Vietnam Radiotherapy Department Hanoi Oncology Hospital Hanoi Vietnam

Aims: This study compares data between the Field in Field planning and Wedge planning techniques to figure out which technique has better dose coverage and distribution for PTV, and, if using FiF technique for whole brain treatment, how many beams will have better plan. Methods: 56 patients, who need to radiate whole brain with 30 Gy/10 fractions, have been selected for this study. Four plans have been made for each patient (FiF1—one subfield per field plan, FiF2—two subfields per field plan, FiF3—three subfields per field plan, and a Wedge plan). Results: The results of Field in Field plans including Compare dose distribution on the transverse CT slice, plan evaluation using DVH, number MU of plan, Dmax, HI, HTCI, DmaxPTV, DmeanPTV. Volume of PTV with the dose over 105% prescribed dose, dose of organ at risk, and Quality Assurance (QA) plan, are better than those of Wedge plan. Conclusions: Plans using Field in Field technique has better coverage, is more homogeneous in dose distribution than plan using Wedge technique. When using Field in Field technique for whole brain radiotherapy, using three subfields per field has better result than two subfields per field and one subfield per field.

关键词： Field in Field Whole Brain Radiotherapy HI HTCI Gamma Index

NOTES SUR LE PHOTOSTADE DE QUELQUES VARIETES DE RIZ AU VIET-NAM DEMOCRATIQUE

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植物生理学报 1959年第3期 11-22页

作者： bui HUY DAP NGHIEM PHU CHUAN Directeur de l'Institut d'Agriculture et de Sylviculture de Hanoi Chef du Laboratoire de Physiologie végétale

En raison du climat tropical du pays,au Viet-Nam on peut faire plusieurs campagnes de riz paran,dont les principales sont les suivantes pour la région du Nord:—Campagne du cinquième mois,avec semis en Novembre,Déc... 详细信息

关键词： der FL 植物生理学 NOTES SUR LE PHOTOSTADE DE QUELQUES VARIETES DE RIZ AU VIET-NAM DEMOCRATIQUE IV DE NAM

Smart Grid and Optimization

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American Journal of Operations Research 2013年第1期3卷 196-206页

作者： Murat Ahat Soufian Ben Amor Marc bui Alain bui Guillaume Guérard Coralie Petermann Laboratory of Chart Ecole Pratique Des Hautes Etudes Paris France Laboratory of PRiSM University Of Versailles SQY Versailles France Laboratory of PRiSM University Of Versailles SQY Versailles France&Laboratory of Econoving University Of Versailles SQY Versailles France

With urging problem of energy and pollution, smart grid is becoming ever important. By gradually changing the actual power grid system, smart grid may evovle into different systems by means of size, elements and strategies, but its fundamental requirements and objectives will not change such as optimizing production, transmission and consumption. Studying the smart grid through modeling and simulation provides us with valuable results which can not be obtained in real world due to time and cost related constraints. However, due to the complexity of the smart grid, achieving optimization is not an easy task, even using computer models. In this paper, we propose an complex system based approach to the smart grid modeling, accentuating on the optimization by combining game theoretical and classical methods in different levels. Thanks to this combination, the optimization can be achieved with flexibility and scalability, while keeping its generality.

关键词： Smart Grid Optimization Complex System

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监控系统中的多摄像机协同(英文)

自动化学报 2003年第3期29卷 408-422页

作者： Nam T. Nguyen Svetha Venkatesh Geoff West Hung H. bui Department of Computing Curtin University of TechnologyDepartment of Computing Curtin University of TechnologyDepartment of Computing Curtin University of TechnologyDepartment of Computing Curtin University of Technology Perth AustraliaPerth AustraliaPerth AustraliaPerth Australia

描述了一个用于室内场合对多个目标进行跟踪的分布式监控系统 .该系统由多个廉价的固定镜头的摄像机构成 ,具有多个摄像机处理模块和一个中央模块用于协调摄像机间的跟踪任务 .由于每个运动目标有可能被多个摄像机同时跟踪 ,因此如何选... 详细信息

描述了一个用于室内场合对多个目标进行跟踪的分布式监控系统 .该系统由多个廉价的固定镜头的摄像机构成 ,具有多个摄像机处理模块和一个中央模块用于协调摄像机间的跟踪任务 .由于每个运动目标有可能被多个摄像机同时跟踪 ,因此如何选择最合适的摄像机对某一目标跟踪 ,特别是在系统资源紧张时 ,成为一个问题 .提出的新算法能根据目标与摄像机之间的距离并考虑到遮挡的情况 ,把目标分配给相应的摄像机 ,因此在遮挡出现时 ,系统能把遮挡的目标分配给能看见目标并距离最近的那个摄像机 .实验表明该系统能协调好多个摄像机进行目标跟踪。

关键词：分布式监控系统目标跟踪摄像机处理模块摄像机协同

Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： Md Zahid Hasan Ontor Md Mamun Ali Kawsar Ahmed Francis M.bui Fahad Ahmed Al-Zahrani S.M.Hasan Mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model