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Novel Framework of Segmentation 3D MRI of Brain Tumors

Journal of Software Engineering and Applications（软件工程与应用） 2024年第5期 246页

作者： Tamer Bahgat elserwy Atef Tayh Nour el-Din Raslan Tarek ali Mervat H.Gheith

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： Ibrahim Mahmoud el-Henawy Mostafa elbaz Zainab H.ali Noha Sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

Evaluating germinability of eight desert halophytes under long-term seed storage: Implications for conservation

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Plant Diversity 2019年第4期41卷 229-236页

作者： Sanjay Gairola Hatem A. Shabana Tamer Mahmoud ali el-Keblawy Andrea Santo Sharjah Seed Bank and Herbarium Sharjah Research AcademyP.O.Box 60999SharjahUnited Arab Emirates Department of Applied Biology College of SciencesUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Independent Researcher SelargiusCagliariItaly

Ex situ conservation in seed banks is a potential complementary conservation strategy for native plant *** is well established that ex situ seed banking of native wild plants prolongs seed viability and thereby preserves genetic and species diversity for future *** evaluated ex situ storage potential of eight halophytic species from deserts in the United Arab Emirates(UAE)by studying seed ***,we examined the germinability of freshly collected seeds and seeds stored for three years in a seed *** also examined the effect of light conditions on fresh and stored seed *** seeds of seven of the eight species tested had a higher germination rates under 12/12 h light/dark fluctuations than did those exposed to total *** reduced light sensitivity in Halocnemum strobilaceum,Suaeda aegyptiaca,Salsola drummondii and Salsola imbricata,but increased the requirement for light in Arthrocnemum *** Anabasis setifera,storage decreased germination percentage when there was a 12-hour light/dark fluctuation,but increased germination rate when exposed to the dark *** significantly reduced germination in both the light/dark and dark treatments in Suaeda vermiculata and *** speed also responded differently to storage;whereas Timson's index significantly increased in *** and ***,it significantly decreased for ***,*** and *** of these species at a range of temperatures requires further testing;additionally,we strongly suggest that these laboratory findings be complemented by field studies.

关键词： Ex situ conservation Halophytes Seed bank collection Seed germination Salt tolerance SSBH

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

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Clinicopathological features and surgical outcome of patients with fibrolamellar hepatocellular carcinoma(experience with 22 patients over a 15-year period)

Journal of Software Engineering and Applications（软件工程与应用） 2024年第6期 530页

作者： Osama Magdy ali Mohamed Breik Tarek Aly Atef Tayh Nour el-Din Raslan Mervat Gheith

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World Journal of Gastrointestinal Surgery 2017年第2期9卷 61-67页

作者： Mohamed Abdel Wahab Ehab el Hanafy Ayman el Nakeeb Mahmoud Abdelwahab ali Gastroenterology Surgical Center Mansoura UniversityMansoura 35516Egypt

AIM To evaluate the clinicopathological features and the surgical outcomes of patients with fibrolamellar hepato-cellular carcinoma(FL-HCC)over a 15-year period. METHODS This is a retrospective study including 22 patients with a pathologic diagnosis of FL-HCC who underwent hepatectomy over a 15-year period. Tumor characteristics,survival and recurrence were evaluated. RESULTS There were 11 male and 11 female with a median age of 29 years(range from 21 to 58 years). Two(9%)patients had hepatitis C viral infection and only 2(9%)patients had alpha-fetoprotein level > 200 ng/m L. The median size of the tumors was 12 cm(range from 5-20 cm). Vascular invasion was detected in 5(23%)patients. Four(18%)patients had lymph node metastases. The median follow up period was 42 mo and the 5-year survival was 65%. Five(23%)patients had a recurrent disease,4 of them had a second surgery with 36 mo median time interval. Vascular invasion is the only significant negative prognostic factor CONCLUSION FL-HCC has a favorable prognosis than common HCC and should be suspected in young patients with non cirrhotic liver. Aggressive surgical resection should be done for all patients. Repeated hepatectomy should be considered for these patients as it has a relatively indolent course.

关键词： Fibrolamellar hepatocellular carcinoma Common hepatocellular carcinoma Recurrence after resection fibrolamellar hepatocellular carcinoma Pathology of fibrolamellar hepatocellular carcinoma Survivalefter resection fibrolamellar hepatocellular carcinoma

Holocene variations of wildfire occurrence as a guide for sustainable management of the northeastern Canadian boreal forest

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Forest Ecosystems 2015年第3期2卷 190-196页

作者： Ahmed el-Guellab Hugo Asselin Sylvie Gauthier Yves Bergeron Adam A.ali NSERC/UQAT/UQàM Industrial Chair in Sustainable Forest Management Université du Québec en Abitibi-Témiscamingue Natural Resources Canada Canadian Forest Service – Laurentian Forestry Centre Centre for Bio-Archeology and Ecology (UMR5059 CNRS) Université Montpellier 2

Background: Cumulative impacts of wildfires and forest harvesting can cause shifts from closed-crown forest to open woodland in boreal ecosystems. To lower the probability of occurrence of such catastrophic regime shifts,forest logging must decrease when fire frequency increases, so that the combined disturbance rate does not exceed the Holocene maximum. Knowing how climate warming will affect fire regimes is thus crucial to sustainably manage the forest. This study aimed to provide a guide to determine sustainable forest harvesting levels, by reconstructing the Holocene fire history at the northern limit of commercial forestry in Quebec using charcoal particles preserved in lake ***: Sediment cores were sampled from four lakes located close to the northern limit of commercial forestry in Quebec. The cores were sliced into consecutive 0.5 cm thick subsamples from which 1 cm3 was extracted to count and measure charcoal particles larger than 150 microns. Age-depth models were obtained for each core based on accelerator mass spectroscopy(AMS) radiocarbon dates. Holocene fire histories were reconstructed by combining charcoal counts and age-depth models to obtain charcoal accumulation rates and, after statistical treatment,long-term trends in fire occurrence(expressed as number of fires per 1000 years).Results: Fire occurrence varied between the four studied sites, but fires generally occurred more often during warm and dry periods of the Holocene, especially during the Holocene Thermal Maximum(7000–3500 cal. BP), when fire occurrence was twice as high as at ***: The current fire regime in the study area is still within the natural range of variability observed over the Holocene. However, climatic conditions comparable to the Holocene Thermal Maximum could be reached within the next few decades, thus substantially reducing the amount of wood available to the forest industry.

关键词： Fire occurrence Holocene Boreal forest Northern li

Tailored pancreatic reconstruction after pancreaticoduodenectomy: a single-center experience of 892 cases

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Hepatobiliary & Pancreatic Diseases International 2017年第5期16卷 528-536页

作者： Ayman el Nakeeb Ahmad M Sultan Ehab Atef ali Salem Mostaffa Abu Zeid Ahmed Abu el Eneen Gamal el Ebidy Mohamed Abdel Wahab Gastroenterology Surgical Center Mansoura UniversityMansoura 35516 Egypt

BACKGROUND: Pancreatic reconstruction following pancreaticoduodenectomy(PD) is still debatable even for pancreatic surgeons. Ideally, pancreatic reconstruction after PD should reduce the risk of postoperative pancreatic fistula(POPF) and its severity if developed with preservation of both exocrine and endocrine pancreatic functions. It must be tailored to control the morbidity linked to the type of *** study was to show the best type of pancreatic reconstruction according to the characters of pancreatic stump. METHODS: We studied all patients who underwent PD in our center from January 1993 to December 2015. Patients were categorized into three groups depending on the presence of risk factors of postoperative complications: low-risk group(absent risk factor), moderate-risk group(presence of one risk factor) and high-risk group(presence of two or more risk factors). RESULTS: A total of 892 patients underwent PD for resection of periampullary tumor. BMI >25 kg/m~2, cirrhotic liver, soft pancreas, pancreatic duct diameter elopment of postoperative complications. POPF developed in 128(14.3%) patients. Delayed gastric emptying occurred in 164(18.4%) patients, biliary leakage developed in 65(7.3%) and pancreatitis presented in 20(2.2%). POPF in low-, moderate-and high-risk groups were 26(8.3%), 65(15.7%) and 37(22.7%) patients, respectively. Postoperative morbidity and mortality were significantly lower with pancreaticogastrostomy(PG) in high-risk group, while pancreaticojejunostomy(PJ) decreases incidence of postoperative steatorrhea in all groups. CONCLUSIONS: Selection of proper pancreatic reconstruction according to the risk factors of patients may reduce POPF and postoperative complications and mortality. PG is superior to PJ as regards short-term outcomes in high-risk group but PJ provides better pancreatic function in all groups and therefore, PJ is superior in l

关键词： periampullary tumor pancreaticogastrostomy pancreaticojejunostomy pancreaticoduodenectomy postoperative pancreatic fistula

Automated COVID-19 Detection Based on Single-Image Super-Resolution and CNN Models

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Computers, Materials & Continua 2022年第1期70卷 1141-1157页

作者： Walid el-Shafai Anas M.ali el-Sayed M.el-Rabaie Naglaa F.Soliman Abeer D.Algarni Fathi E.Abd el-Samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

In developing countries,medical diagnosis is expensive and time ***,automatic diagnosis can be a good cheap *** task can be performed with artificial intelligence tools such as deep Convolutional Neural Networks(CNNs).These tools can be used on medical images to speed up the diagnosis process and save the efforts of *** deep CNNs allow direct learning from the medical ***,the accessibility of classified data is still the largest challenge,particularly in the field of medical *** learning can deliver an effective and promising solution by transferring knowledge from universal object detection CNNs to medical image ***,because of the inhomogeneity and enormous overlap in intensity between medical images in terms of features in the diagnosis of Pneumonia and COVID-19,transfer learning is not usually a robust ***-Image Super-Resolution(SISR)can facilitate learning to enhance computer vision functions,apart from enhancing perceptual image ***,it helps in showing the main features of *** by the challenging dilemma of Pneumonia and COVID-19 diagnosis,this paper introduces a hybrid CNN model,namely SIGTra,to generate super-resolution versions of X-ray and CT *** depends on aGenerative Adversarial Network(GAN)for the super-resolution reconstruction ***,Transfer learning with CNN(TCNN)is adopted for the classification of *** different categories of chest X-ray and CT images can be classified with the proposed model.A comparison study is presented between the proposed SIGTra model and the other relatedCNNmodels for COVID-19 detection in terms of precision,sensitivity,and accuracy.

关键词： Medical images SIGTra GAN CT and X-ray images SISR TCNN

Exact Solution of Space-Time Fractional Coupled EW and Coupled MEW Equations Using Modified Kudryashov Method

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Communications in Theoretical Physics 2017年第7期67卷 49-56页

作者： K. R. Raslan Talaat S. el-Danaf Khalid K. ali Mathematics Department Faculty of Science Al-Azhar University Mathematics Department Faculty of Science Ai-Azhar University Nasr City 11884 Cairo Egypt Faculty of Science Menoufia University Shebein E1-Koom Egypt

In the present paper, we established a traveling wave solution by using modified Kudryashov method for the space-time fractional nonlinear partial differential equations. The method is used to obtain the exact solutions for different types of the space-time fractional nonlinear partial differential equations such as, the space-time fractional coupled equal width wave equation(CEWE) and the space-time fractional coupled modified equal width wave equation(CMEW), which are the important soliton equations. Both equations are reduced to ordinary differential equations by the use of fractional complex transform and properties of modified Riemann–Liouville derivative. We plot the exact solutions for these equations at different time levels.

关键词： fractional coupled EW fractional coupled MEW equations modified Kudryashov method

Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis

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Computers, Materials & Continua 2022年第3期70卷 6107-6125页

作者： Walid el-Shafai Samy Abd el-Nabi el-Sayed Mel-Rabaie Anas M.ali Naglaa F.Soliman Abeer D.Algarni Fathi E.Abd el-Samie Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Effective medical diagnosis is dramatically expensive,especially in third-world *** of the common diseases is pneumonia,and because of the remarkable similarity between its types and the limited number of medical images for recent diseases related to pneumonia,themedical diagnosis of these diseases is a significant ***,transfer learning represents a promising solution in transferring knowledge from generic tasks to specific ***,experimentation and utilization of different models of transfer learning do not achieve satisfactory *** this study,we suggest the implementation of an automatic detectionmodel,namelyCADTra,to efficiently diagnose pneumonia-related *** model is based on classification,denoising autoencoder,and transfer ***,pre-processing is employed to prepare the medical *** depends on an autoencoder denoising(AD)algorithm with a modified loss function depending on a Gaussian distribution for decoder output to maximize the chances for recovering inputs and clearly demonstrate their features,in order to improve the diagnosis ***,classification is performed using a transfer learning model and a four-layer convolution neural network(FCNN)to detect *** proposed model supports binary classification of chest computed tomography(CT)images and multi-class classification of chest X-ray ***,a comparative study is introduced for the classification performance with and without the denoising *** proposed model achieves precisions of 98%and 99%for binary classification and multi-class classification,respectively,with the different ratios for training and *** demonstrate the efficiency and superiority of the proposed CADTra model,it is compared with some recent state-of-the-art CNN *** achieved outcomes prove that the suggested model can help radiologists to detect pneumonia-related diseases and improve the diagnostic efficiency compared to the exis

关键词： Medical images CADTra AD CT and X-ray images autoencoder