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A Framework of Deep Learning and Selection-Based Breast Cancer Detection from Histopathology Images

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Computer Systems Science & Engineering 2023年第5期45卷 1001-1016页

作者： Muhammad Junaid Umer Muhammad Sharif Majed Alhaisoni Usman Tariq Ye Jin Kim Byoungchol Chang Department of Computer Science COMSATS University IslamabadWah CampusWah CanttPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman University(PNU)P.O.BOX 84428Riyadh11671Saudi Arabia College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj11942Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea Center for Computational Social Science Hanyang UniversitySeoul04763Korea

Breast cancer(BC)is a most spreading and deadly cancerous malady which is mostly diagnosed in middle-aged women worldwide and effecting beyond a half-million people every year.The BC positive newly diagnosed cases in 2018 reached 2.1 million around the world with a death rate of 11.6%of total cases.Early diagnosis and detection of breast cancer disease with proper treatment may reduce the number of deaths.The gold standard for BC detection is biopsy analysis which needs an expert for correct diagnosis.Manual diagnosis of BC is a complex and challenging task.This work proposed a deep learning-based(DL)solution for the early detection of this deadly disease from histopathology images.To evaluate the robustness of the proposed method a large publically available breast histopathology image database containing a total of 277524 histopathology images is utilized.The proposed automatic diagnosis of BC detection and classification mainly involves three steps.Initially,a DL model is proposed for feature extraction.Secondly,the extracted feature vector(FV)is passed to the proposed novel feature selection(fs)framework for the best fs.Finally,for the classification of BC into invasive ductal carcinoma(IDC)and normal class different machine learning(ML)algorithms are used.Experimental outcomes of the proposed methodology achieved the highest accuracy of 92.7%which shows that the proposed technique can successfully be implemented for BC detection to aid the pathologists in the early and accurate diagnosis of BC.

关键词： Breast cancer deep learning fs IDC ML SVM

Precipitation data and their uncertainty as input for rainfallinduced shallow landslide models

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Frontiers of Earth Science 2019年第4期13卷 695-704页

作者： Yueli CHEN Linna ZHAO Ying WANG Qingu JIANG Dan QI State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China China Institute of Water Resources and Hydropower Research Beijing 100038China National Meteorological Center Beijing 100081China

Physical models used toforecast the temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws.Owing to the existing measuring technology and our knowledge of the physical laws controlling landslide initiation,model uncertainties are due to an inability to accurately quantify the model input parameters and rainfall forcing data.An uncertainty analysis of slope instability prediction provides a rationale for refining the geotechnical models.The Transient Rainfall Infiltration and Grid-based Regional Slope Stability-Probabilistic(TRIGRS-P)model adopts a probabilistic approach to compute the changes in the Factor of Safety(fs)due to rainfall infiltration.Slope Infiltration Distributed Equilibrium(SLIDE)is a simplified physical model for landslide prediction.The new code(SLIDE-P)is also modified by adopting the same probabilistic approach to allow values of the SLIDE model input parameters to be sampled randomly.This study examines the relative importance of rainfall variability and the uncertainty in the other variables that determine slope stability.The precipitation data from weather stations,China Meteorological Administration Land Assimilation System 2.0(CLDAS2.0),China Meteorological Forcing Data set precipitation(CMFD),and China geological hazard bulletin are used to drive TRIGRS,SLIDE,TRIGRS-P and SLIDE-P models.The TRIGRS-P and SLIDE-P models are used to generate the input samples and to calculate the values of fs.The outputs of several model runs with varied input parameters and rainfall forcings are analyzed statistically.A comparison suggests that there are significant differences in the simulations of the TRIGRS-P and SLIDE-P models.Although different precipitation data sets are used,the simulation results of TRIGRS-P are more concentrated.This study can inform the potential use of numerical models toforecast the spatial and temporal occurrence of regional rainfall-induced shallow landslides.

关键词： rainfall-induced landslide SLIDE TRIGRS fs

High-order harmonic generation in Ar and Ne with a 45fs intense laser field

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Science China Mathematics 1999年第7期42卷 778-784页

作者：徐至展王迎松翟侃李学信刘亚青杨晓东张正泉李儒新张文琦 Laboratory for High Intensity Optics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai China

Experimental results of high-order harmonic generation (HHG) in Ar and Ne gas driven with a 45fs Ti: sapphire laser are presented. The shortest-wavelength harmonic emission corresponding to the 91st order harmonic (8.63nm) is observed in argon. In neon, the harmonics up to order 131 (5.99nm) is also observed. The effects of gas density, laser intensity, free electron and the focusing geometry parameters of the laser beam on the process of harmonic generation are investigated. The direct experimental evidence that an increased electron density causes a degenerated harmonic radiation is obtained.

关键词： high-order harmonic generation intense laser field X-ray source fs laser pulses.

Excited State Properties of Fucoxanthin Aggregates

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Chemical Research in Chinese Universities 2019年第4期35卷 627-635页

作者： ZUO Jialing TAN Liming XU Yi MA Yingchao DONG Jia WANG Peng ZHANG Jianping Department of Chemistry Renmin University of China Beijing 100872 P. R. China

The structure and excited state properties of the H- and J-aggregates of the marine carbonyl carotenoid, fucoxanthin(Fx), were studied by various spectroscopic methods, and compared with those of Fx monomers in polar organic solvents. The fluorescent analysis indicated tliat the higher vibronic states of S2 contribute more to populating the S1 state, from which fluorescent emission mainly originates. Resonance Raman and density functional theory calculations confirmed the ‘card-packed' and chead-to-taiF structures of the H- and J-aggregates of Fx, respectively. An fs time-resolved absorption study proved the coexistence of Si and intramolecular charge transfer relaxation pathways upon excitation to the S2 state for both tlie monomers and aggregates.

关键词： Fucoxanthin aggregate Resonance Raman fs Time-resolved absorption Excited state property Singlet fission

Predicting spikes with artificial neural network

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Science China(Information Sciences) 2018年第6期61卷 170-172页

作者： Lihong CAO Jiamin SHEN Lei WANG Ye WANG Neuroscience and Intelligent Media Institute Communication University of China

Dear editor,Spikes or action potentials are prominent features in most brain neurons,through which neural information can be efficiently processed and reliably transmitted,and eventually form the basis underlying how ... 详细信息

关键词： fs RS Predicting spikes with artificial neural network

A Novel Self-Synchronization Scheme Based on Cross Gain Modulation and Self-Frequency Shift in an SOA

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The Journal of China Universities of Posts and Telecommunications 2006年第1期13卷 67-70,83页

作者： YE Xiao-hua ZHANG Fang-di ZHANG Min ZHANG Rui YE Pei-da Key Laboratory of Optical Communication and Lightwave Technologies Beijing University of Po~ts and Telecommunications Beijing 100876 P.R. China

This paper presents a novel self-synchronization scheme utilizing a semiconductor optical amplifier and an optical band-pass filter. Implemented using cross gain modulation and self frequency shift, the proposed scheme has a simple structure that does not need any special marker pulses. With proper tuning of semiconductor optical amplifier and optical band-pass filter parameters and delay time of the control pulse, we, through simulation, obtain a synchronization clock with the intensity contrast ratio of more than 20 dB from RZ pseudorandom bit sequence at different operation speeds.

关键词： optical packet networks self-synchronization SOA fs CR

Effect of Patient-Specific Aorta Wall Properties on Hemodynamic Parameters

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Fluid Dynamics & Materials Processing 2021年第1期17卷 171-179页

作者： Mohamad Shukri Zakaria Haslina Abdullah Azmi Nordin Syazwati Ahmad Zaki Fakulti Kejuruteraan Mekanikal Universiti Teknikal Malaysia MelakaHang Tuah Jaya76100Malaysia Faculty of Mechanical&Manufacturing Engineering Universiti Tun Hussein OnnParit Raja86400Malaysia

This study deals with the interaction of blood flow with the wall aorta,i.e.,the boundary of the main artery that transports blood in the human body.The problem is addressed in the framework of computational fluid dynamics complemented with(fsI),i.e.,a fluid-structure interaction model.Two fundamental types of wall are considered,namely a flexible and a rigid boundary.The resulting hemodynamic flows are carefully compared in order to determine which boundary condition is more effective in reproducing reality.Special attention is paid to wall shear stress(WSS),a factor known for its ability to produce atherosclerosis and bulges.Laminar flow conditions are assumed.The result show that the flexible wall can produce higher WSS and pressure drop compared to the rigid aorta case.

关键词： Aorta CFD wall shear stress fs

Effect of characteristics of plasma plume on the diamond-like film deposition

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Science China Mathematics 2000年第10期43卷 1088-1092页

作者：姚东升刘晶儒俞昌旋王丽戈詹如娟 Department of Modem Physics University of Science and Technology of China Hefei 230026 China Northwest Institute of Nuclear Technology Xi'an 710024 China Northwest Institute of Nuclear Technology Xi'an 710024 China Department of Modem Physics University of Science and Technology of China Hefei 230026 China

Pulsed KrF lasers of two different durations (30 ns, 500 fs) are used to deposit DLCfilms. By optical emission spectroscopy and ion probe, the composite species of laser generated plas-ma plume are identified, the average kinetic energy of ions, the plume flux and their variation with laserenergy density, and the distance from the target are investigated. The relation of the properties of de-posited films with the plasma characteristics is studied.

关键词： fs pulsed laser kinetic energy and flux of ions diamond-like film

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全啁啾镜色散补偿的亚8 fs钛宝石激光器

物理学报 2015年第14期64卷 164-168页

作者：范海涛王胭脂王兆华叶蓬胡国行秦爽何会军易葵邵建达魏志义中国科学院物理研究所光物理重点实验室北京100190 中国科学院上海光学精密机械研究所中国科学院强激光材料重点实验室上海201800

报道了一种基于全啁啾镜腔内色散补偿的、可长期稳定运行的亚8 fs钛宝石激光器.在4 W绿光抽运下,可获得300 mW、86 MHz脉冲输出.腔内用于色散补偿的两对啁啾镜是国内自主设计自行镀膜的,其对色散的精确控制可以在腔内不加尖劈对的情况... 详细信息

报道了一种基于全啁啾镜腔内色散补偿的、可长期稳定运行的亚8 fs钛宝石激光器.在4 W绿光抽运下,可获得300 mW、86 MHz脉冲输出.腔内用于色散补偿的两对啁啾镜是国内自主设计自行镀膜的,其对色散的精确控制可以在腔内不加尖劈对的情况下获得半宽超过150 nm超宽带输出.利用腔外色散补偿,脉冲宽度被压缩至7.9 fs,这是目前采用国产啁啾镜获得的最短脉宽,也是无尖劈对谐振腔获得的最短脉宽.同时,利用电路系统提供实时反馈调节,可保证钛宝石激光器长期稳定运行,24 h内功率抖动约0.6%.

关键词：啁啾镜钛宝石长期稳定亚8 fs