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EfficientNetB1 Deep LearningModel for Microscopic Lung Cancer Lesion Detection and Classification Using Histopathological Images

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Computers, Materials and Continua 2024年第1期81卷 809-825页

作者： javed, rabia Saba, Tanzila Alahmadi, Tahani Jaser Al-Otaibi, Sarah AlGhofaily, Bayan Rehman, Amjad Department of Computer Science Lahore College forWomen University Lahore 54000 Pakistan Artificial Intelligence & Data Analytics Lab. CCIS Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Computer Science College of Computer and Information Sciences King Saud University Riyadh 145111 Saudi Arabia

Cancer poses a significant threat due to its aggressive nature, potential for widespread metastasis, and inherent heterogeneity, which often leads to resistance to chemotherapy. Lung cancer ranks among the most prevalent forms of cancer worldwide, affecting individuals of all genders. Timely and accurate lung cancer detection is critical for improving cancer patients' treatment outcomes and survival rates. Screening examinations for lung cancer detection, however, frequently fall short of detecting small polyps and cancers. To address these limitations, computer-aided techniques for lung cancer detection prove to be invaluable resources for both healthcare practitioners and patients alike. This research implements an enhanced EfficientNetB1 deep learning model for accurate detection and classification using histopathological images. The proposed technique accurately classifies the histopathological images into three distinct classes: (1) no cancer (benign), (2) adenocarcinomas, and (3) squamous cell carcinomas. We evaluated the performance of the proposed technique using the histopathological (LC25000) lung dataset. The preprocessing steps, such as image resizing and augmentation, are followed by loading a pretrained model and applying transfer learning. The dataset is then split into training and validation sets, with fine-tuning and retraining performed on the training dataset. The model's performance is evaluated on the validation dataset, and the results of lung cancer detection and classification into three classes are obtained. The study's findings show that an enhanced model achieves exceptional classification accuracy of 99.8%. © 2024 The Authors.

关键词： Lung cancer

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IoMT Enabled Melanoma Detection Using Improved Region Growing Lesion Boundary Extraction

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Computers, Materials & Continua 2022年第6期71卷 6219-6237页

作者： Tanzila Saba rabia javed Mohd Shafry Mohd Rahim Amjad Rehman Saeed Ali Bahaj Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaSkudai81310Johor BahruMalaysia Department of Computer Science Lahore College for Women UniversityLahore54000Pakistan MIS Department College of Business Administration Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia

The Internet ofMedical Things(IoMT)and cloud-based healthcare applications,services are beneficial for better decision-making in recent *** is a deadly cancer with a highermortality rate than other skin cancer types such as basal cell,squamous cell,andMerkel ***,detection and treatment at an early stage can result in a higher chance of *** classical methods of detection are expensive and ***,they rely on a trained practitioner’s level,and the availability of the needed equipment is essential for the early detection of *** current improvement in computer-aided systems is providing very encouraging results in terms of precision and *** this article,we propose an improved region growing technique for efficient extraction of the lesion *** analysis and detection ofMelanoma are helpful for the expert *** CNN features are extracted using the pre-trained VGG-19 deep learning *** the end,the selected features are classified by *** proposed technique is gauged on openly accessible two datasets ISIC 2017 and *** the evaluation of our proposed framework,qualitative and quantitative experiments are *** suggested segmentation method has provided encouraging statistical results of Jaccard index 0.94,accuracy 95.7%on ISIC 2017,and Jaccard index 0.91,accuracy 93.3%on the PH2 *** results are notably better than the results of prevalent methods available on the same *** machine learning SVMclassifier executes significantly well on the suggested feature vector,and the comparative analysis is carried out with existing methods in terms of *** proposed method detects and classifies melanoma far better than other ***,our framework gained promising results in both segmentation and classification phases.

关键词： Deep features extraction lesion segmentation melanoma detection SVM VGG-19 healthcare IoMT public health

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Statistical Histogram Decision Based Contrast Categorization of Skin Lesion Datasets Dermoscopic Images

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Computers, Materials & Continua 2021年第5期67卷 2337-2352页

作者： rabia javed Mohd Shafry Mohd Rahim Tanzila Saba Suliman Mohamed Fati Amjad Rehman Usman Tariq School of Computing Faculty of EngineeringUniversiti Teknologi Malaysia Johor Bahru81310Malaysia Department of Computer Science Lahore College for Women UniversityLahore54000Pakistan College of Computer and Information Sciences Prince Sultan UniversityRiyadh11589Saudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Most of the melanoma cases of skin cancer are the life-threatening form of *** is prevalent among the Caucasian group of people due to their light skin *** is the second most common cancer that hits the age group of 15–29 *** high number of cases has increased the importance of automated systems for *** diagnosis should be fast and accurate for the early treatment of *** should remove the need for biopsies and provide stable diagnostic *** requires large quantities of *** lesion datasets contain various kinds of dermoscopic images for the detection of *** publicly available benchmark skin lesion datasets,ISIC 2017,ISBI 2016,and PH2,are used for the ***,the ISIC archive and PH2 are the most challenging and demanding dermoscopic *** datasets’pre-analysis is necessary to overcome contrast variations,under or over segmented images boundary extraction,and accurate skin lesion *** this paper,we proposed the statistical histogram-based method for the pre-categorization of skin lesion *** image histogram properties are utilized to check the image contrast variations and categorized these images into high and low contrast *** two performance measures,processing time and efficiency,are computed for evaluation of the proposed *** results showed that the proposed methodology improves the pre-processing efficiency of 77%of ISIC 2017,67%of ISBI 2016,and 92.5%of PH2 datasets.

关键词： Cancer healthcare contrast enhancement dermoscopic images skin lesion low contrast images WHO

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Sequential expression of miR-221-3p and miR-338-3p in Schwann cells as a therapeutic strategy to promote nerve regeneration and functional recovery

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Neural Regeneration Research 2023年第3期18卷 671-682页

作者： Li-Li Wen Tian-Hao Yu Yi-Zhan Ma Xiao-Yan Mao Tian-Rang Ao rabia javed Hirotomo Ten Akira Matsuno Qiang Ao Department of Tissue Engineering School of Intelligent MedicineChina Medical UniversityShenyangLiaoning ProvinceChina The VIP Department School and Hospital of StomatologyLiaoning Provincial Key Laboratory of Oral DiseasesChina Medical UniversityShenyangLiaoning ProvinceChina Department of Oncology Cancer HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijingChina Department of Neurosurgery Teikyo University School of MedicineTokyoJapan NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial&Institute of Regulatory Science for Medical Device&National Engineering Research Center for Biomaterials Sichuan UniversityChengduSichuan ProvinceChina

The functional properties of endogenous Schwann cells(SCs)during nerve repair are *** the functional properties of SCs at different stages of nerve repair may have therapeutic benefit in improving the repair of damaged *** studies showed that miR-221-3p promotes the proliferation and migration of SCs,and miR-338-3p promotes the myelination of *** this study,we established rat models of sciatic nerve injury by bridging the transected sciatic nerve with a silicone *** injected a miR-221 lentiviral vector system together with a doxycycline-inducible Tet-On miR-338 lentiviral vector system into the cavity of nerve conduits of nerve stumps to sequentially regulate the biological function of endogenous SCs at different stages of nerve *** found that the biological function of SCs was sequentially regulated,the diameter and density of myelinated axons were increased,the expression levels of NF200 and myelin basic protein were increased,and the function of injured peripheral nerve was improved using this *** Target Prediction Database prediction,Nanopore whole transcriptome sequencing,quantitative PCR,and dual luciferase reporter gene assay results predicted and verified Cdkn1b and Nrp1 as target genes of miR-221-3p and miR-338-3p,respectively,and their regulatory effects on SCs were confirmed in *** conclusion,here we established a new method to enhance nerve regeneration through sequential regulation of biological functions of endogenous SCs,which establishes a new concept and model for the treatment of peripheral nerve *** findings from this study will provide direct guiding significance for clinical treatment of sciatic nerve injury.

关键词： cdkn1b miR-221 miR-338 miRNA nerve regeneration Nrp1 peripheral nerve injury regulation Schwann cells sequential expression

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Sterilization and disinfection methods for decellularized matrix materials:Review,consideration and proposal

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Bioactive Materials 2021年第9期6卷 2927-2945页

作者： Meihan Tao Tianrang Ao Xiaoyan Mao Xinzhu Yan rabia javed Weijian Hou Yang Wang Cong Sun Shuang Lin Tianhao Yu Qiang Ao Department of Tissue Engineering China Medical UniversityShenyangChina Chinese Academy of Medical Sciences&Peking Union Medical College BeijingChina The VIP Department School and Hospital of StomatologyChina Medical UniversityLiaoning Provincial Key Laboratory of Oral DiseasesShenyangChina Department of Developmental Cell Biology Key Laboratory of Medical Cell BiologyMinistry of EducationChina Medical UniversityShenyangChina Institute of Regulatory Science for Medical Device National Engineering Research Center for BiomaterialsSichuan UniversityChengduChina

Sterilization is the process of killing all microorganisms,while disinfection is the process of killing or removing all kinds of pathogenic microorganisms except bacterial *** involved in cell experiments,animal experiments,and clinical applications need to be in the aseptic state,but their physical and chemical properties as well as biological activities can be affected by sterilization or *** matrix(dECM)is the low immunogenicity material obtained by removing cells from tissues,which retains many inherent components in tissues such as proteins and *** there are few studies concerning the effects of sterilization or disinfection on dECM,and the systematic introduction of sterilization or disinfection for dECM is even ***,this review systematically introduces and analyzes the mechanism,advantages,disadvantages,and applications of various sterilization and disinfection methods,discusses the factors influencing the selection of sterilization and disinfection methods,summarizes the sterilization and disinfection methods for various common dECM,and finally proposes a graphical route for selecting an appropriate sterilization or disinfection method for dECM and a technical route for validating the selected method,so as to provide the reference and basis for choosing more appropriate sterilization or disinfection methods of various dECM.

关键词： Decellularized matrix Sterilization Disinfection Irradiation Ethylene oxide Supercritical carbon dioxide Peracetic acid Hydrogen peroxide Alcohol Antibiotic

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Dynamics of holographic images of scalar-tensor-vector gravity-AdS black holes

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Chinese Physics C 2024年第9期48卷 274-290页

作者： Xin-Yun Hu M.Israr Aslam rabia Saleem Xiao-Xiong Zeng College of Economic and Management Chongqing Jiaotong UniversityChongqing 400074China Department of Mathematics COMSATS University IslamabadLahore-CampusLahore 54000 Pakistan State Key Laboratory of Mountain Bridge and Tunnel Engineering Chongqing Jiaotong UniversityChongqing 400074China Department of Mechanics Chongqing Jiaotong UniversityChongqing 400074China

Using AdS/CFT correspondence,we analyze the holographic Einstein images via the response function of the complex scalar field as a probe wave on an AdS Schwarzschild scalar-tensor-vector gravity(STVG)black hole(BH).We find that the amplitude of the response function||decreases with increasing values of coupling parameter a and increases with decreasing temperature *** frequencyωof the wave source also plays a significant role in wave periods;as we increase the values ofω,the periods of waves decrease,indicating that the total response function closely depends on the wave ***,we investigate the optical appearance of the holographic images of the BH in *** found that the holographic ring always appears with surrounding concentric stripes when the observer is located at the north pole,and an extremely bright ring appears when the observer is at the position of the photon sphere of the *** ring changes into a luminosity-deformed ring or a bright light spot as the observational angle *** corresponding brightness profiles show that the luminosity of the ring decreases and the shadow radius increases with increasing values of *** relation between temperature T and the inverse of the horizonh_e is discussed;T is small at the beginning of the horizon he and then increases as the horizon radius *** effect can be used to distinguish the STVG BH solution from other BH ***,these significant features are also reflected in the Einstein ring and corresponding brightness *** addition,we compare the results obtained by wave optics and geometric optics,which align well,implying that the holographic scheme adopted in this study is valid.

关键词： scalar-tensor-vector gravity shadows AdS/CFT correspondence

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Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems

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Computers, Materials & Continua 2024年第3期78卷 3413-3429页

作者： rabia Abid Muhammad Rizwan Abdulatif Alabdulatif Abdullah Alnajim Meznah Alamro Mourade Azrour Department of Computer Science Kinnaird College for WomenLahorePakistan College of Science and Engineering University of DerbyDerbyDE221GBUK Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia STI Laboratory IDMS TeamFaculty of Sciences and TechniquesMoulay Ismail University of MeknèsMeknesMorocco

Explainable Artificial Intelligence(XAI)has an advanced feature to enhance the decision-making feature and improve the rule-based technique by using more advanced Machine Learning(ML)and Deep Learning(DL)based *** this paper,we chose e-healthcare systems for efficient decision-making and data classification,especially in data security,data handling,diagnostics,laboratories,and *** Machine Learning(FML)is a new and advanced technology that helps to maintain privacy for Personal Health Records(PHR)and handle a large amount of medical data *** this context,XAI,along with FML,increases efficiency and improves the security of e-healthcare *** experiments show efficient system performance by implementing a federated averaging algorithm on an open-source Federated Learning(FL)*** experimental evaluation demonstrates the accuracy rate by taking epochs size 5,batch size 16,and the number of clients 5,which shows a higher accuracy rate(19,104).We conclude the paper by discussing the existing gaps and future work in an e-healthcare system.

关键词： Artificial intelligence data privacy federated machine learning healthcare system security

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Toxicity of copper oxide nanoparticles on agriculturally important soil rhizobacteria Bacillus megaterium

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Emerging Contaminants 2024年第1期10卷 139-147页

作者： Gyan Datta Tripathi Zoya javed Kavya Dashora Agri-Nanotechnology Laboratory Centre for Rural Development and TechnologyIndian Institute of Technology DelhiNew Delhi110016India

Copper oxide nanoparticles are an integral part of modern agrochemical industries,such as pesticides and nano *** has been extensively reviewed and reported that the interaction of nanoparticles with plant growth-promoting rhizobacteria(PGPRs)may be toxic due to their accumulation in the soil and may remain in contact for a long time which causes a negative impact on the soil microbial *** study presented here,investigates the impact of the copper oxide nanoparticles on the isolated PGPR species Bacillius megaterium AGNTL MM7 in invitro *** observed that the formation of Reactive Oxygen Species(ROS)at¼of Minimum Inhibitory Concentrations(MIC)of CuO nanoparticles resulted in a decrease in the Indole Acetic Acid(IAA)production(83.02μg/ml)as the marker of the nanoparticles mediated stress on the Bacillus megaterium AGNTL *** minimum inhibitory concentration(MIC)assay was observed at 4 mg/*** solubility of CuO nanoparticles was 0.014%and the Nanotracking analyzer estimated the mean average size 188 nm in a liquid medium such as *** Electron Microscopic(TEM)studies observed that the concentration of 1 mg/ml nanoparticles showed a strong affinity with cell envelope and caused a significant negative impact on the microorganism,resulting in 58%inhibition in IAA production was observed in comparison to the control i.e.,197.8μg/*** flow cytometric analysis also significantly validated the toxicity at the same concentration.

关键词： Contact mode toxicity Dissolution Oxidative stress Cellular membrane Plant growth promotion

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Weber Law Based Approach for Multi-Class Image Forgery Detection

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Computers, Materials & Continua 2024年第1期78卷 145-166页

作者： Arslan Akram javed Rashid Arfan Jaffar Fahima Hajjej Waseem Iqbal Nadeem Sarwar Department of Computer Science Superior UniversityLahore54000Pakistan Information Technology Services University of OkaraOkara56300Pakistan Departmet of Computer Science MLC LabOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered *** forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing ***,an image can contain one or more types of *** study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial ***,images are divided into equal blocks to get scale-invariant *** law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing *** proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and ***(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and *** average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.

关键词： Copy-Move and splicing non-overlapping block division texture features weber law spatial domain xgboost

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Application of Synthetic Iron Oxyhydroxide with Influencing Factors for Removal of As(Ⅴ) and As(Ⅲ) from Groundwater

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Journal of Earth Science 2024年第3期35卷 998-1009页

作者： Shakeel Ahmed Talpur Muhammad Yousuf Jat Baloch Chunli Su javed Iqbal Aziz Ahmed Hafeez Ahmed Talpur School of Environmental Studies China University of GeosciencesWuhan 430078China DiSPUTer Department of PsychologicalHealth and Territory SciencesUniversity“G.d′Annunzio”Chieti-Pescara66100 ChietiItaly College of New Energy and Environment Jilin UniversityChangchun 130021China School of Plant Environment and Soil SciencesLouisiana State University Agricultural CentreBaton Rouge LA 70803USA Department od Engineering and Geology University“G.d′Annunzio”Chieti-Pescara66100 ChietiItaly

Synthesized iron oxyhydroxide was applied for the adsorptive removal of As(V)and As(III)from the aquas ***,this investigation highlighted the synergistic effect of calcium carbonate in conjunction with iron oxyhydroxide,resulting in enhanced removal *** experiment was conducted under various conditions:concentration,dosage,pH,agitation,and *** characterizations such as Brunauer Emmett Teller,X-ray diffraction,scanning electron microscopy,and Fourier transform infrared spectroscopy were implied to understand adsorption *** Langmuir model revealed optimal concentrations for As(V)=500μg/L at pH-5 and As(III)=200μg/L at pH-7,resulting in 95%and 93%adsorption efficiencies,*** adsorption capacities“qm”were found to be 1266.943μg/g for As(V)and 1080.241μg/g for As(III).Freundlich model demonstrated favorable adsorption by indicating“n>1”such as As(V)=2.542 and As(III)=2.707;similarly,the speciation factor“RL<1”for both species as As(V)=0.1 and As(III)=0.5,*** kinetic study presented a pseudo-second-order model as best fitted,indicating throughout chemisorption processes for removing As(V)and As(III).Furthermore,incorporating calcium carbonate presented a significant leap in the removal efficiency,indicating As(V)from 95%to 98%and As(III)from 93%to 96%,*** findings offer profound motivation for developing effective and sustainable solutions to tackle arsenic contamination,underscoring the exceptional promise of iron oxyhydroxide in conjunction with calcium carbonate to achieve maximum removal efficiency.

关键词： adsorption arsenic As(V) As(III) iron oxyhydroxide isotherms kinetics groundwater.

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